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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [154, 9, 169, 16] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "NAVY"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 480, "bbox": [154, 9, 169, 16], "raw_data": {"coco_file_name": "COCO_train2014_000000276244.jpg", "image_id": "276244", "caption": ["A boy conducts a video game orchestra in the livering room.", "A young boy is playing a game on the nintendo wii.", "Young boy playing video game while standing in living room.", "He is playing a video game by himself.", "A young boy who is playing a video game."], "ocr_tokens": ["NAVY", "US"], "ocr_info": [{"word": "NAVY", "bounding_box": {"width": 0.0227, "height": 0.0148, "top_left_x": 0.2416, "top_left_y": 0.0202}}, {"word": "US", "bounding_box": {"width": 0.0128, "height": 0.014, "top_left_x": 0.2233, "top_left_y": 0.0194}}], "image_width": 640, "image_height": 480}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [239, 7, 280, 20] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "Bristol"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 568, "bbox": [239, 7, 280, 20], "raw_data": {"coco_file_name": "COCO_train2014_000000327432.jpg", "image_id": "327432", "caption": ["A few old cars on a busy city street.", "A vintage photograph of the earliest buses in the downtown. ", "Antique black and white photograph of a bus station", "An old black and white photo of a busy city street with trolleys", "An old photo of some transit buses picking up passengers."], "ocr_tokens": ["Bristol", "pre", "World", "War", "Meads,", "-Temple", "One"], "ocr_info": [{"word": "Bristol", "bounding_box": {"width": 0.0653, "height": 0.0238, "top_left_x": 0.3736, "top_left_y": 0.0125}}, {"word": "pre", "bounding_box": {"width": 0.0322, "height": 0.0224, "top_left_x": 0.0108, "top_left_y": 0.0188}}, {"word": "World", "bounding_box": {"width": 0.0622, "height": 0.0188, "top_left_x": 0.0495, "top_left_y": 0.015}}, {"word": "War", "bounding_box": {"width": 0.0431, "height": 0.0188, "top_left_x": 0.1184, "top_left_y": 0.015}}, {"word": "Meads,", "bounding_box": {"width": 0.0631, "height": 0.0213, "top_left_x": 0.2981, "top_left_y": 0.0137}}, {"word": "-Temple", "bounding_box": {"width": 0.0722, "height": 0.0276, "top_left_x": 0.2184, "top_left_y": 0.0121}}, {"word": "One", "bounding_box": {"width": 0.0386, "height": 0.0199, "top_left_x": 0.1675, "top_left_y": 0.0127}}], "image_width": 640, "image_height": 568}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [321, 287, 429, 322] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "ONLY"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 480, "bbox": [321, 287, 429, 322], "raw_data": {"coco_file_name": "COCO_train2014_000000330229.jpg", "image_id": "330229", "caption": ["a big sign shows the two options of the road", "A left, straight and right turn only sign on a street.", "A street sign showing turning directions for specific lanes.", "a street sign showing a one way street ", "A street sign desceibes the directions the lanes go."], "ocr_tokens": ["ONLY", "STOP", "STOP"], "ocr_info": [{"word": "ONLY", "bounding_box": {"width": 0.1684, "height": 0.0729, "top_left_x": 0.503, "top_left_y": 0.5983}}, {"word": "STOP", "bounding_box": {"width": 0.0442, "height": 0.029, "top_left_x": 0.4098, "top_left_y": 0.9085}}, {"word": "STOP", "bounding_box": {"width": 0.0452, "height": 0.029, "top_left_x": 0.4098, "top_left_y": 0.9108}}], "image_width": 640, "image_height": 480}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [323, 245, 338, 258] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "AP"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 483, "image_height": 640, "bbox": [323, 245, 338, 258], "raw_data": {"coco_file_name": "COCO_train2014_000000249290.jpg", "image_id": "249290", "caption": ["Pale green scooter with non-USA plates parked with cat nearby.", "A motor scooter with a cat standing next to it.", "An orange cat sitting next to a motorbike. ", "A motor scooter parked in front of a building next to a cat.", "An orange striped cat sits next to a motorized scooter."], "ocr_tokens": ["AP", "G8261", "POLICE", "G", "31"], "ocr_info": [{"word": "AP", "bounding_box": {"width": 0.0298, "height": 0.02, "top_left_x": 0.6706, "top_left_y": 0.3837}}, {"word": "G8261", "bounding_box": {"width": 0.0414, "height": 0.025, "top_left_x": 0.7236, "top_left_y": 0.37}}, {"word": "POLICE", "bounding_box": {"width": 0.0547, "height": 0.0287, "top_left_x": 0.6772, "top_left_y": 0.2913}}, {"word": "G", "bounding_box": {"width": 0.018, "height": 0.0172, "top_left_x": 0.7141, "top_left_y": 0.3773}}, {"word": "31", "bounding_box": {"width": 0.0232, "height": 0.0195, "top_left_x": 0.6942, "top_left_y": 0.3814}}], "image_width": 483, "image_height": 640}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [487, 464, 505, 475] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "Mr."}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 480, "bbox": [487, 464, 505, 475], "raw_data": {"coco_file_name": "COCO_train2014_000000389634.jpg", "image_id": "389634", "caption": ["a white red yellow and blue bus a street and trees", "A large white bus on a city road.", "A red and white public bus driving down the city street", "A white and red bus is going down the street.", "A white and red bus on street next to trees."], "ocr_tokens": ["Mr.", "FREE", "ONBOARD", "FIVE", "Simpatiko", "2013", "2099"], "ocr_info": [{"word": "Mr.", "bounding_box": {"width": 0.0284, "height": 0.0229, "top_left_x": 0.7622, "top_left_y": 0.9685}}, {"word": "FREE", "bounding_box": {"width": 0.0308, "height": 0.0192, "top_left_x": 0.5239, "top_left_y": 0.3038}}, {"word": "ONBOARD", "bounding_box": {"width": 0.0469, "height": 0.0194, "top_left_x": 0.5864, "top_left_y": 0.3098}}, {"word": "FIVE", "bounding_box": {"width": 0.022, "height": 0.0146, "top_left_x": 0.5755, "top_left_y": 0.4604}}, {"word": "Simpatiko", "bounding_box": {"width": 0.0878, "height": 0.0294, "top_left_x": 0.8053, "top_left_y": 0.9669}}, {"word": "2013", "bounding_box": {"width": 0.0402, "height": 0.0242, "top_left_x": 0.9536, "top_left_y": 0.9671}}, {"word": "2099", "bounding_box": {"width": 0.0392, "height": 0.0229, "top_left_x": 0.9042, "top_left_y": 0.9688}}], "image_width": 640, "image_height": 480}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [441, 93, 463, 112] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "61"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 480, "bbox": [441, 93, 463, 112], "raw_data": {"coco_file_name": "COCO_train2014_000000297585.jpg", "image_id": "297585", "caption": ["there is a old bus coming up the street", "a large bus is driving down the street ", "A large white and blue bus on a road.", "Bus driving on road with buildings and car with cloudy sky", "A man rides a blue and white bus down the road."], "ocr_tokens": ["61", "877"], "ocr_info": [{"word": "61", "bounding_box": {"width": 0.0334, "height": 0.0381, "top_left_x": 0.6902, "top_left_y": 0.1954}}, {"word": "877", "bounding_box": {"width": 0.0203, "height": 0.0171, "top_left_x": 0.6447, "top_left_y": 0.584}}], "image_width": 640, "image_height": 480}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [71, 249, 140, 266] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "naked"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 519, "image_height": 640, "bbox": [71, 249, 140, 266], "raw_data": {"coco_file_name": "COCO_train2014_000000389775.jpg", "image_id": "389775", "caption": ["A round table with a backpack, postage stamps, a frisbee, and other items", "A backpack. magazines, Wii controllers and an assortment of other things on a night stand. ", "a table top with a candy bar and back pack on it ", "A table with a bag and items from it arranged on top.", "a small table that has many things on it"], "ocr_tokens": ["naked", "5 AVENUE", " AVENUE", "23", "MOJO", "DISC"], "ocr_info": [{"word": "naked", "bounding_box": {"width": 0.1329, "height": 0.0267, "top_left_x": 0.138, "top_left_y": 0.39}}, {"word": "5 AVENUE", "bounding_box": {"width": 0.0391, "height": 0.1072, "top_left_x": 0.4459, "top_left_y": 0.6373}}, {"word": " AVENUE", "bounding_box": {"width": 0.0376, "height": 0.1056, "top_left_x": 0.4975, "top_left_y": 0.6469}}, {"word": "23", "bounding_box": {"width": 0.0241, "height": 0.0138, "top_left_x": 0.675, "top_left_y": 0.3798}}, {"word": "MOJO", "bounding_box": {"width": 0.0335, "height": 0.0139, "top_left_x": 0.721, "top_left_y": 0.7203}}, {"word": "DISC", "bounding_box": {"width": 0.052, "height": 0.0156, "top_left_x": 0.6595, "top_left_y": 0.7152}}], "image_width": 519, "image_height": 640}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [19, 336, 36, 351] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "4A"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 428, "bbox": [19, 336, 36, 351], "raw_data": {"coco_file_name": "COCO_train2014_000000233637.jpg", "image_id": "233637", "caption": ["A horse and carriage traveling on a street.", "Kids on a bike while a man is drive a horse drawn buggy.", "a photo of a single horse drawn carriage in a sub urban street", "A family riding in a horse and buggy down the road", "A parade with boys riding their bikes and a horse and carriage "], "ocr_tokens": ["4A", "HAH"], "ocr_info": [{"word": "4A", "bounding_box": {"width": 0.0261, "height": 0.0353, "top_left_x": 0.0309, "top_left_y": 0.7869}}, {"word": "HAH", "bounding_box": {"width": 0.0362, "height": 0.0435, "top_left_x": 0.1348, "top_left_y": 0.7096}}], "image_width": 640, "image_height": 428}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [349, 281, 430, 307] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "Vanilla"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 448, "image_height": 600, "bbox": [349, 281, 430, 307], "raw_data": {"coco_file_name": "COCO_train2014_000000043093.jpg", "image_id": "43093", "caption": ["a close up of a bowl of cereal with a banana", "A table with a bowl of granola, banana and yogurt.", "A bowl of nuts, a measuring spoon and a banana on a table with blender.", "A small bowl of granola is next to a banana. ", "A bowl of cereal sits next to other ingredients."], "ocr_tokens": ["Vanilla", "Stonyfiel", "French", "Organic", "ts", "MAX", "900", "MILLILITERS", "750", "600", "450", "300", "150", "50", "1983", "AND", "CREAMY", "SMOOTH"], "ocr_info": [{"word": "Vanilla", "bounding_box": {"width": 0.1808, "height": 0.0437, "top_left_x": 0.7792, "top_left_y": 0.4695}}, {"word": "Stonyfiel", "bounding_box": {"width": 0.442, "height": 0.0963, "top_left_x": 0.5632, "top_left_y": 0.2232}}, {"word": "French", "bounding_box": {"width": 0.1455, "height": 0.0438, "top_left_x": 0.6319, "top_left_y": 0.4557}}, {"word": "Organic", "bounding_box": {"width": 0.2411, "height": 0.0563, "top_left_x": 0.6737, "top_left_y": 0.3332}}, {"word": "ts", "bounding_box": {"width": 0.0395, "height": 0.0252, "top_left_x": 0.9603, "top_left_y": 0.8858}}, {"word": "MAX", "bounding_box": {"width": 0.0623, "height": 0.0223, "top_left_x": 0.3257, "top_left_y": 0.0028}}, {"word": "900", "bounding_box": {"width": 0.0607, "height": 0.0258, "top_left_x": 0.0835, "top_left_y": 0.0233}}, {"word": "MILLILITERS", "bounding_box": {"width": 0.1404, "height": 0.027, "top_left_x": 0.0319, "top_left_y": 0.0692}}, {"word": "750", "bounding_box": {"width": 0.0598, "height": 0.0228, "top_left_x": 0.1054, "top_left_y": 0.1053}}, {"word": "600", "bounding_box": {"width": 0.0556, "height": 0.0217, "top_left_x": 0.131, "top_left_y": 0.1862}}, {"word": "450", "bounding_box": {"width": 0.0556, "height": 0.021, "top_left_x": 0.1545, "top_left_y": 0.2597}}, {"word": "300", "bounding_box": {"width": 0.0518, "height": 0.0193, "top_left_x": 0.1779, "top_left_y": 0.3342}}, {"word": "150", "bounding_box": {"width": 0.0451, "height": 0.0188, "top_left_x": 0.2038, "top_left_y": 0.4032}}, {"word": "50", "bounding_box": {"width": 0.0348, "height": 0.0217, "top_left_x": 0.2288, "top_left_y": 0.4485}}, {"word": "1983", "bounding_box": {"width": 0.0833, "height": 0.015, "top_left_x": 0.7364, "top_left_y": 0.2287}}, {"word": "AND", "bounding_box": {"width": 0.0404, "height": 0.0127, "top_left_x": 0.7587, "top_left_y": 0.5097}}, {"word": "CREAMY", "bounding_box": {"width": 0.1228, "height": 0.0302, "top_left_x": 0.8078, "top_left_y": 0.5108}}, {"word": "SMOOTH", "bounding_box": {"width": 0.0987, "height": 0.0193, "top_left_x": 0.6489, "top_left_y": 0.5005}}], "image_width": 448, "image_height": 600}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [502, 376, 583, 409] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "gocara"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 419, "bbox": [502, 376, 583, 409], "raw_data": {"coco_file_name": "COCO_train2014_000000241305.jpg", "image_id": "241305", "caption": ["A couple of men that are standing on a tennis court.", "A tennis player swinging at a tennis ball during a match.", "Two men in white playing tennis on a court", "Two men playing doubles tennis on a blue hard court.", "Two men are playing a doubles game in front of an audience."], "ocr_tokens": ["gocara", "Rupa"], "ocr_info": [{"word": "gocara", "bounding_box": {"width": 0.1259, "height": 0.0792, "top_left_x": 0.7858, "top_left_y": 0.8981}}, {"word": "Rupa", "bounding_box": {"width": 0.0939, "height": 0.0979, "top_left_x": 0.8998, "top_left_y": 0.9086}}], "image_width": 640, "image_height": 419}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [97, 149, 113, 161] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "13"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 500, "image_height": 375, "bbox": [97, 149, 113, 161], "raw_data": {"coco_file_name": "COCO_train2014_000000468519.jpg", "image_id": "468519", "caption": ["A man standing on a bus next to a man sitting on a bus.", "Group of people sitting on a public transportation together. ", "A bus is full of commuters and some are standing.", "a number of people on a public transit bus ", "People are standing and sitting on a crowded bus. "], "ocr_tokens": ["13"], "ocr_info": [{"word": "13", "bounding_box": {"width": 0.0314, "height": 0.0312, "top_left_x": 0.1956, "top_left_y": 0.3997}}], "image_width": 500, "image_height": 375}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [241, 404, 272, 422] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "FIAT"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 427, "bbox": [241, 404, 272, 422], "raw_data": {"coco_file_name": "COCO_train2014_000000324052.jpg", "image_id": "324052", "caption": ["A man riding a skateboard down the side of a metal hand rail.", "A skateboarder is entertaining crowd by skateboarding on a rail.", "A man is riding a skateboard down a rail in front of a crowd.", "A teenager is on a skateboard in front of a crowd.", "A man skateboarding on a rail in front of a crowd."], "ocr_tokens": ["FIAT", "M"], "ocr_info": [{"word": "FIAT", "bounding_box": {"width": 0.0497, "height": 0.0424, "top_left_x": 0.3767, "top_left_y": 0.9475}}, {"word": "M", "bounding_box": {"width": 0.0788, "height": 0.1133, "top_left_x": 0.2636, "top_left_y": 0.8869}}], "image_width": 640, "image_height": 427}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [415, 263, 461, 275] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "R.S.E.B"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 427, "bbox": [415, 263, 461, 275], "raw_data": {"coco_file_name": "COCO_train2014_000000327563.jpg", "image_id": "327563", "caption": ["Could there be monkey business even with a banana in his mouth?", "A monkey with a banana in his mouth inspects an electrical box.", "A monkey holding a banana in it's mouth.", "A small monkey with a banana in its mouth.", "A monkey that has a banana in its mouth."], "ocr_tokens": ["R.S.E.B"], "ocr_info": [{"word": "R.S.E.B", "bounding_box": {"width": 0.0723, "height": 0.0279, "top_left_x": 0.6487, "top_left_y": 0.6169}}], "image_width": 640, "image_height": 427}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [369, 294, 423, 310] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "Design"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 480, "bbox": [369, 294, 423, 310], "raw_data": {"coco_file_name": "COCO_train2014_000000122116.jpg", "image_id": "122116", "caption": ["A box filled with dynamite next to a pair of scissors and wire cutters.", "There are a pair of scissors, pliers and a note pad and pen on a desk.", "A box of hardware sits on a desk next to some scissors. ", "Various tools are sitting on a table with a notepad and pen ready for note taking.", "a desk with a pair of scissors and a sharpener "], "ocr_tokens": ["Design", "unter"], "ocr_info": [{"word": "Design", "bounding_box": {"width": 0.0839, "height": 0.0321, "top_left_x": 0.5775, "top_left_y": 0.6138}}, {"word": "unter", "bounding_box": {"width": 0.0741, "height": 0.0527, "top_left_x": -0.0037, "top_left_y": 0.276}}], "image_width": 640, "image_height": 480}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [147, 61, 169, 85] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "ICL"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 433, "bbox": [147, 61, 169, 85], "raw_data": {"coco_file_name": "COCO_train2014_000000213172.jpg", "image_id": "213172", "caption": ["A wooden desk is in the corner of a cluttered dorm style room.", "A white room is adorned with multiple posters.", "A cluttered desk with a red lamp and TV on top of it.", "Books, television and a red lamp are on a desk.", "The room is cluttered with a lot of books and things on the wall. "], "ocr_tokens": ["ICL", "84", "1984", "THE", "i", "HA", "FROM", "PLANNER"], "ocr_info": [{"word": "ICL", "bounding_box": {"width": 0.0348, "height": 0.0557, "top_left_x": 0.2297, "top_left_y": 0.142}}, {"word": "84", "bounding_box": {"width": 0.0208, "height": 0.0351, "top_left_x": 0.2327, "top_left_y": 0.1942}}, {"word": "1984", "bounding_box": {"width": 0.0261, "height": 0.0196, "top_left_x": 0.4375, "top_left_y": 0.2208}}, {"word": "THE", "bounding_box": {"width": 0.0152, "height": 0.0152, "top_left_x": 0.5167, "top_left_y": 0.1926}}, {"word": "i", "bounding_box": {"width": 0.0041, "height": 0.0296, "top_left_x": 0.4763, "top_left_y": 0.6136}}, {"word": "HA", "bounding_box": {"width": 0.033, "height": 0.0222, "top_left_x": 0.9673, "top_left_y": 0.0898}}, {"word": "FROM", "bounding_box": {"width": 0.0292, "height": 0.0185, "top_left_x": 0.5344, "top_left_y": 0.1871}}, {"word": "PLANNER", "bounding_box": {"width": 0.0503, "height": 0.0252, "top_left_x": 0.4652, "top_left_y": 0.2113}}], "image_width": 640, "image_height": 433}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [505, 399, 541, 411] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "MATT"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 427, "bbox": [505, 399, 541, 411], "raw_data": {"coco_file_name": "COCO_train2014_000000279917.jpg", "image_id": "279917", "caption": ["A man and a dog are laying across a bed both looking bored.", "A man laying on a bed next to a brown dog.", "A man rests his chin on his hand while lying on a bed beside a dog.", "A man is laying on a bed next to a dog.", "Maybe the man picked that dog because they have the same color hair."], "ocr_tokens": ["MATT", "ARMSTRONG"], "ocr_info": [{"word": "MATT", "bounding_box": {"width": 0.0561, "height": 0.0283, "top_left_x": 0.7906, "top_left_y": 0.9356}}, {"word": "ARMSTRONG", "bounding_box": {"width": 0.1356, "height": 0.044, "top_left_x": 0.848, "top_left_y": 0.933}}], "image_width": 640, "image_height": 427}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [421, 129, 446, 148] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "335"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 361, "bbox": [421, 129, 446, 148], "raw_data": {"coco_file_name": "COCO_train2014_000000361392.jpg", "image_id": "361392", "caption": ["A red double decker bus next to a park.", "A red double decked bus traveling on a brick driveway.", "A red double-decker bus driving around the bend of a circle.", "a double deckered bus on a narrow road ", "a double decker bus driving down the side of the road"], "ocr_tokens": ["335", "SLOUGH", "Station", "SYX16"], "ocr_info": [{"word": "335", "bounding_box": {"width": 0.04, "height": 0.0532, "top_left_x": 0.6583, "top_left_y": 0.3582}}, {"word": "SLOUGH", "bounding_box": {"width": 0.0419, "height": 0.0338, "top_left_x": 0.6383, "top_left_y": 0.4183}}, {"word": "Station", "bounding_box": {"width": 0.037, "height": 0.0285, "top_left_x": 0.6813, "top_left_y": 0.4271}}, {"word": "SYX16", "bounding_box": {"width": 0.0411, "height": 0.023, "top_left_x": 0.6672, "top_left_y": 0.851}}], "image_width": 640, "image_height": 361}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [241, 215, 275, 265] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "14"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 427, "bbox": [241, 215, 275, 265], "raw_data": {"coco_file_name": "COCO_train2014_000000359403.jpg", "image_id": "359403", "caption": ["A baseball player swinging a bat on a field.", "A players swings the bat during a baseball game. ", "A group of men on a field playing baseball.", "A baseball player swinging a bat during a game.", "A baseball player hitting a baseball with the catcher ready to catch it."], "ocr_tokens": ["14", "340", "ho"], "ocr_info": [{"word": "14", "bounding_box": {"width": 0.0536, "height": 0.1166, "top_left_x": 0.3766, "top_left_y": 0.5056}}, {"word": "340", "bounding_box": {"width": 0.0281, "height": 0.0248, "top_left_x": 0.9256, "top_left_y": 0.7845}}, {"word": "ho", "bounding_box": {"width": 0.03, "height": 0.0323, "top_left_x": 0.9705, "top_left_y": 0.8267}}], "image_width": 640, "image_height": 427}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [437, 314, 529, 325] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "www.wightlink.co.uk"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 427, "bbox": [437, 314, 529, 325], "raw_data": {"coco_file_name": "COCO_train2014_000000420976.jpg", "image_id": "420976", "caption": ["A ferry makes its way to port in a city..", "A ferry is crossing a body of water.", "Ferry moving through river with skyline in background", "A boat is loaded with passengers during the day.", "The huge ferry boat on the water has four decks."], "ocr_tokens": ["www.wightlink.co.uk"], "ocr_info": [{"word": "www.wightlink.co.uk", "bounding_box": {"width": 0.1436, "height": 0.0267, "top_left_x": 0.6842, "top_left_y": 0.7361}}], "image_width": 640, "image_height": 427}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [77, 228, 107, 236] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "N793BS"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 486, "bbox": [77, 228, 107, 236], "raw_data": {"coco_file_name": "COCO_train2014_000000422953.jpg", "image_id": "422953", "caption": ["Two planes sitting on runway with engines running.", "An airplane taking off from the tarmac. ", "Plane going down the runway coming off at front", "A grey plane is taking off of the runway", "A couple of planes pared on top of a runway."], "ocr_tokens": ["N793BS"], "ocr_info": [{"word": "N793BS", "bounding_box": {"width": 0.0458, "height": 0.0169, "top_left_x": 0.1216, "top_left_y": 0.4693}}], "image_width": 640, "image_height": 486}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [68, 195, 113, 207] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "1988"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 480, "bbox": [68, 195, 113, 207], "raw_data": {"coco_file_name": "COCO_train2014_000000118131.jpg", "image_id": "118131", "caption": ["A bunch of very cute stuffed animals on display.", "Collectible bears on display in costumes and the year they were released.", "Some stuffed bears are all on display together", "A display case filled with teddy bears from different years.", "Stuffed toy bears with year markers beneath them on display."], "ocr_tokens": ["1988", "1989", "1990", "1991", "1992", "2001", "2002", "2000", "1999", "1998"], "ocr_info": [{"word": "1988", "bounding_box": {"width": 0.0714, "height": 0.0258, "top_left_x": 0.1064, "top_left_y": 0.4065}}, {"word": "1989", "bounding_box": {"width": 0.0728, "height": 0.0281, "top_left_x": 0.2973, "top_left_y": 0.4033}}, {"word": "1990", "bounding_box": {"width": 0.0719, "height": 0.0271, "top_left_x": 0.4902, "top_left_y": 0.3998}}, {"word": "1991", "bounding_box": {"width": 0.0714, "height": 0.029, "top_left_x": 0.6848, "top_left_y": 0.394}}, {"word": "1992", "bounding_box": {"width": 0.0809, "height": 0.029, "top_left_x": 0.8877, "top_left_y": 0.3915}}, {"word": "2001", "bounding_box": {"width": 0.0925, "height": 0.0385, "top_left_x": 0.6406, "top_left_y": 0.8862}}, {"word": "2002", "bounding_box": {"width": 0.0995, "height": 0.0433, "top_left_x": 0.8798, "top_left_y": 0.8892}}, {"word": "2000", "bounding_box": {"width": 0.0936, "height": 0.0408, "top_left_x": 0.4208, "top_left_y": 0.8933}}, {"word": "1999", "bounding_box": {"width": 0.09, "height": 0.0408, "top_left_x": 0.2114, "top_left_y": 0.8906}}, {"word": "1998", "bounding_box": {"width": 0.0752, "height": 0.044, "top_left_x": -0.0008, "top_left_y": 0.8985}}], "image_width": 640, "image_height": 480}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [424, 406, 432, 415] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "C"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 435, "bbox": [424, 406, 432, 415], "raw_data": {"coco_file_name": "COCO_train2014_000000566419.jpg", "image_id": "566419", "caption": ["A gloomy beach crowded with people relaxing and flying kites", "A large group of people flying kites at the beach.", "A large group of people flying kites on a beach.", "People on a beach are standing and flying kites.", "The kites flew high in the cloud filled sky."], "ocr_tokens": ["C", "Taariq", "Maruzook"], "ocr_info": [{"word": "C", "bounding_box": {"width": 0.0122, "height": 0.0191, "top_left_x": 0.6636, "top_left_y": 0.9352}}, {"word": "Taariq", "bounding_box": {"width": 0.1197, "height": 0.0469, "top_left_x": 0.677, "top_left_y": 0.926}}, {"word": "Maruzook", "bounding_box": {"width": 0.1812, "height": 0.0451, "top_left_x": 0.7989, "top_left_y": 0.9267}}], "image_width": 640, "image_height": 435}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [14, 50, 41, 66] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "DYERS"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 500, "image_height": 375, "bbox": [14, 50, 41, 66], "raw_data": {"coco_file_name": "COCO_train2014_000000503149.jpg", "image_id": "503149", "caption": ["A street filled with trolley cars and horse carriages.", "An old time picture of a city and it's citizens.", "An image depicting trolleys and horse drawn carriages. ", "Black and white image of several trolleys, with carriages and people.", "Vintage photo of busy street with streetcars in horse drawn buggies."], "ocr_tokens": ["DYERS", "001", "NC", "INI"], "ocr_info": [{"word": "DYERS", "bounding_box": {"width": 0.0542, "height": 0.0421, "top_left_x": 0.0294, "top_left_y": 0.1341}}, {"word": "001", "bounding_box": {"width": 0.0344, "height": 0.0208, "top_left_x": 0.8346, "top_left_y": 0.1643}}, {"word": "NC", "bounding_box": {"width": 0.027, "height": 0.0365, "top_left_x": 0.8372, "top_left_y": 0.1933}}, {"word": "INI", "bounding_box": {"width": 0.0272, "height": 0.0285, "top_left_x": 0.834, "top_left_y": 0.2349}}], "image_width": 500, "image_height": 375}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [217, 165, 250, 182] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "DEILPOSDN"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 426, "bbox": [217, 165, 250, 182], "raw_data": {"coco_file_name": "COCO_train2014_000000425359.jpg", "image_id": "425359", "caption": ["A desk with a computer and a lamp in front of a bookcase.", "A keyboard and monitor are sitting on a desk.", "A desk that has a computer on it.", "A computer desk with a turned on computer in front of a book rack. ", "a computer screen that is on top of a desk"], "ocr_tokens": ["DEILPOSDN"], "ocr_info": [{"word": "DEILPOSDN", "bounding_box": {"width": 0.0519, "height": 0.0406, "top_left_x": 0.3391, "top_left_y": 0.3887}}], "image_width": 640, "image_height": 426}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [557, 335, 605, 355] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "acer"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 481, "bbox": [557, 335, 605, 355], "raw_data": {"coco_file_name": "COCO_train2014_000000279479.jpg", "image_id": "279479", "caption": ["A cat is sniffing a laptop that is open.", "A large orange cat sitting next to a laptop computer.", "A cat is looking at the side of a laptop computer.", "A cat is sitting next to a laptop", "A cat on a desk sniffing a laptop computer."], "ocr_tokens": ["acer", "Hey", "Works", "Things", "You", "7", "H", "Y", "U", "N", "B", "V", "F", "G", "S", "R", "Z", "S", "O"], "ocr_info": [{"word": "acer", "bounding_box": {"width": 0.0747, "height": 0.041, "top_left_x": 0.8717, "top_left_y": 0.6971}}, {"word": "Hey", "bounding_box": {"width": 0.0225, "height": 0.0225, "top_left_x": 0.7253, "top_left_y": 0.2682}}, {"word": "Works", "bounding_box": {"width": 0.0331, "height": 0.02, "top_left_x": 0.7594, "top_left_y": 0.269}}, {"word": "Things", "bounding_box": {"width": 0.037, "height": 0.0239, "top_left_x": 0.9098, "top_left_y": 0.2906}}, {"word": "You", "bounding_box": {"width": 0.0261, "height": 0.0185, "top_left_x": 0.9475, "top_left_y": 0.296}}, {"word": "7", "bounding_box": {"width": 0.0105, "height": 0.0129, "top_left_x": 0.8764, "top_left_y": 0.8507}}, {"word": "H", "bounding_box": {"width": 0.0141, "height": 0.0177, "top_left_x": 0.8311, "top_left_y": 0.9112}}, {"word": "Y", "bounding_box": {"width": 0.0145, "height": 0.015, "top_left_x": 0.8358, "top_left_y": 0.8653}}, {"word": "U", "bounding_box": {"width": 0.0112, "height": 0.016, "top_left_x": 0.8966, "top_left_y": 0.8881}}, {"word": "N", "bounding_box": {"width": 0.0125, "height": 0.017, "top_left_x": 0.8434, "top_left_y": 0.9728}}, {"word": "B", "bounding_box": {"width": 0.0112, "height": 0.0166, "top_left_x": 0.7795, "top_left_y": 0.9453}}, {"word": "V", "bounding_box": {"width": 0.0133, "height": 0.0156, "top_left_x": 0.723, "top_left_y": 0.9181}}, {"word": "F", "bounding_box": {"width": 0.0092, "height": 0.0135, "top_left_x": 0.7189, "top_left_y": 0.863}}, {"word": "G", "bounding_box": {"width": 0.0125, "height": 0.015, "top_left_x": 0.7744, "top_left_y": 0.8871}}, {"word": "S", "bounding_box": {"width": 0.0097, "height": 0.0123, "top_left_x": 0.7675, "top_left_y": 0.8085}}, {"word": "R", "bounding_box": {"width": 0.01, "height": 0.0166, "top_left_x": 0.7278, "top_left_y": 0.8187}}, {"word": "Z", "bounding_box": {"width": 0.0156, "height": 0.02, "top_left_x": 0.5609, "top_left_y": 0.843}}, {"word": "S", "bounding_box": {"width": 0.0116, "height": 0.0177, "top_left_x": 0.6153, "top_left_y": 0.8177}}, {"word": "O", "bounding_box": {"width": 0.015, "height": 0.0168, "top_left_x": 0.5806, "top_left_y": 0.7607}}], "image_width": 640, "image_height": 481}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [358, 200, 446, 244] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "DALAZ"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 480, "bbox": [358, 200, 446, 244], "raw_data": {"coco_file_name": "COCO_train2014_000000377473.jpg", "image_id": "377473", "caption": ["a man is getting his picture taken outside", "A man wearing a bright red shirt gets his picture taken by a lady in a bright pink shirt.", "A woman taking a photograph of a young man wearing a red shirt.", "A woman taking a picture of a man standing in front of a wall.", "A boy getting his picture taking by a woman holding her phone. "], "ocr_tokens": ["DALAZ"], "ocr_info": [{"word": "DALAZ", "bounding_box": {"width": 0.1366, "height": 0.0921, "top_left_x": 0.5603, "top_left_y": 0.4183}}], "image_width": 640, "image_height": 480}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [55, 132, 82, 147] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "LUE"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 480, "bbox": [55, 132, 82, 147], "raw_data": {"coco_file_name": "COCO_train2014_000000295578.jpg", "image_id": "295578", "caption": ["A baseball player standing in a baseball diamond with a catcher and umpire behind him.", "A baseball player holding a bat during a baseball game.", "Man throwing a ball during a baseball game.", "A batter is looking down as the catcher is preparing a throw.", "A baseball player standing at the diamond next to a catcher on the baseball field."], "ocr_tokens": ["LUE", "JY"], "ocr_info": [{"word": "LUE", "bounding_box": {"width": 0.042, "height": 0.0306, "top_left_x": 0.0867, "top_left_y": 0.2765}}, {"word": "JY", "bounding_box": {"width": 0.0495, "height": 0.0456, "top_left_x": 0.1375, "top_left_y": 0.2773}}], "image_width": 640, "image_height": 480}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [196, 140, 205, 153] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "4"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 500, "image_height": 375, "bbox": [196, 140, 205, 153], "raw_data": {"coco_file_name": "COCO_train2014_000000012107.jpg", "image_id": "12107", "caption": ["Two apartment doors with a sign in a window reading \"for rent\".", "Two green doors labeled 40 & 42 with three windows.", "An old brick building with green doors and window frames.", "a brick wall building with blue doors ", "Two light blue doors and three windows on a brick wall. "], "ocr_tokens": ["4", "0", "4", "2"], "ocr_info": [{"word": "4", "bounding_box": {"width": 0.018, "height": 0.0352, "top_left_x": 0.393, "top_left_y": 0.3736}}, {"word": "0", "bounding_box": {"width": 0.0206, "height": 0.0357, "top_left_x": 0.4572, "top_left_y": 0.3701}}, {"word": "4", "bounding_box": {"width": 0.0186, "height": 0.036, "top_left_x": 0.153, "top_left_y": 0.3811}}, {"word": "2", "bounding_box": {"width": 0.02, "height": 0.04, "top_left_x": 0.2126, "top_left_y": 0.3779}}], "image_width": 500, "image_height": 375}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [19, 59, 152, 187] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "7"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 502, "image_height": 640, "bbox": [19, 59, 152, 187], "raw_data": {"coco_file_name": "COCO_train2014_000000529340.jpg", "image_id": "529340", "caption": ["A man walking on a beach holding a surfboard.", "Surfer holding a board while walking on water. ", "A man is wading in the water with a surfboard.", "A man wearing dark shorts and t-shirt holds a surfboard while on the beach.", "a magazine cover with a surfer carrying a white surfboard"], "ocr_tokens": ["7", "sky", "TH", "OTHER", "APPROACH", "EARTH", "YOUR", "TO", "LISTEN", "63", "I", "SURE", "SKATE", "SNOW", "OF"], "ocr_info": [{"word": "7", "bounding_box": {"width": 0.2667, "height": 0.2005, "top_left_x": 0.038, "top_left_y": 0.0931}}, {"word": "sky", "bounding_box": {"width": 0.6408, "height": 0.1623, "top_left_x": 0.3191, "top_left_y": 0.0444}}, {"word": "TH", "bounding_box": {"width": 0.0544, "height": 0.0197, "top_left_x": 0.3171, "top_left_y": 0.2139}}, {"word": "OTHER", "bounding_box": {"width": 0.0827, "height": 0.0197, "top_left_x": 0.3767, "top_left_y": 0.2139}}, {"word": "APPROACH", "bounding_box": {"width": 0.1357, "height": 0.0163, "top_left_x": 0.4651, "top_left_y": 0.2159}}, {"word": "EARTH", "bounding_box": {"width": 0.1522, "height": 0.0284, "top_left_x": 0.7227, "top_left_y": 0.9303}}, {"word": "YOUR", "bounding_box": {"width": 0.0922, "height": 0.0183, "top_left_x": 0.8528, "top_left_y": 0.908}}, {"word": "TO", "bounding_box": {"width": 0.0434, "height": 0.0181, "top_left_x": 0.7964, "top_left_y": 0.907}}, {"word": "LISTEN", "bounding_box": {"width": 0.1052, "height": 0.0202, "top_left_x": 0.7645, "top_left_y": 0.8817}}, {"word": "63", "bounding_box": {"width": 0.0245, "height": 0.0138, "top_left_x": 0.9307, "top_left_y": 0.2173}}, {"word": "I", "bounding_box": {"width": 0.0072, "height": 0.013, "top_left_x": 0.9155, "top_left_y": 0.2169}}, {"word": "SURE", "bounding_box": {"width": 0.0629, "height": 0.0125, "top_left_x": 0.8474, "top_left_y": 0.2173}}, {"word": "SKATE", "bounding_box": {"width": 0.0753, "height": 0.0142, "top_left_x": 0.7359, "top_left_y": 0.2169}}, {"word": "SNOW", "bounding_box": {"width": 0.0759, "height": 0.0142, "top_left_x": 0.6456, "top_left_y": 0.2164}}, {"word": "OF", "bounding_box": {"width": 0.0293, "height": 0.0139, "top_left_x": 0.6068, "top_left_y": 0.2164}}], "image_width": 502, "image_height": 640}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [198, 289, 231, 303] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "MONSTER"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 329, "bbox": [198, 289, 231, 303], "raw_data": {"coco_file_name": "COCO_train2014_000000214876.jpg", "image_id": "214876", "caption": ["The enveloping of an outside town in the picture. \n", "Two stuntmen flip dirt bikes on a ramp.", "two motorcycle riders are doing an aerial trick", "a person doing a jump over ramp with a dirtbike", "The motorcycle riders are attempting very difficult tricks."], "ocr_tokens": ["MONSTER", "PREESIHLI", "EXC", "III", "III", "SMP"], "ocr_info": [{"word": "MONSTER", "bounding_box": {"width": 0.0512, "height": 0.0432, "top_left_x": 0.3102, "top_left_y": 0.879}}, {"word": "PREESIHLI", "bounding_box": {"width": 0.0467, "height": 0.021, "top_left_x": 0.3138, "top_left_y": 0.9249}}, {"word": "EXC", "bounding_box": {"width": 0.0227, "height": 0.0195, "top_left_x": 0.3939, "top_left_y": 0.8915}}, {"word": "III", "bounding_box": {"width": 0.0255, "height": 0.0891, "top_left_x": 0.2239, "top_left_y": 0.9131}}, {"word": "III", "bounding_box": {"width": 0.0177, "height": 0.1167, "top_left_x": 0.2919, "top_left_y": 0.8581}}, {"word": "SMP", "bounding_box": {"width": 0.0969, "height": 0.0787, "top_left_x": 0.5925, "top_left_y": 0.8927}}], "image_width": 640, "image_height": 329}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [152, 68, 260, 102] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "FlicKr"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 500, "image_height": 364, "bbox": [152, 68, 260, 102], "raw_data": {"coco_file_name": "COCO_train2014_000000286120.jpg", "image_id": "286120", "caption": ["A desk has a computer and headphones on it.", "Computer components are sitting on top of the desk.", "flickr on the computer monitor on top of the desk.", "A computer and a headset sit on a desk.", "A computer desk with a monitor, keyboard and mouse."], "ocr_tokens": ["FlicKr", "PHILIPS", "ANTIPRO"], "ocr_info": [{"word": "FlicKr", "bounding_box": {"width": 0.2162, "height": 0.092, "top_left_x": 0.3052, "top_left_y": 0.189}}, {"word": "PHILIPS", "bounding_box": {"width": 0.0326, "height": 0.0121, "top_left_x": 0.4116, "top_left_y": 0.4099}}, {"word": "ANTIPRO", "bounding_box": {"width": 0.0834, "height": 0.0527, "top_left_x": 0.7804, "top_left_y": 0.7497}}], "image_width": 500, "image_height": 364}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [153, 48, 235, 141] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "NORDICA"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 426, "bbox": [153, 48, 235, 141], "raw_data": {"coco_file_name": "COCO_train2014_000000253334.jpg", "image_id": "253334", "caption": ["A person that is jumping in the air with skis.", "A person skiing down a snow trail, on skis. ", "a snow skier doing a flip off of a slope", "A person wearing skis jumping over the snow.", "The skier is flying through the air with black skis"], "ocr_tokens": ["NORDICA", "NORDICA"], "ocr_info": [{"word": "NORDICA", "bounding_box": {"width": 0.1272, "height": 0.2183, "top_left_x": 0.2406, "top_left_y": 0.1134}}, {"word": "NORDICA", "bounding_box": {"width": 0.1525, "height": 0.2265, "top_left_x": 0.4991, "top_left_y": 0.4338}}], "image_width": 640, "image_height": 426}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [157, 65, 167, 75] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "X"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 427, "bbox": [157, 65, 167, 75], "raw_data": {"coco_file_name": "COCO_train2014_000000348480.jpg", "image_id": "348480", "caption": ["A room decorated for Christmas with a large screen tv ", "A Christmas tree behind a table next to a book shelf and a wood burning stove.", "A flat screen TV sitting next to a Christmas tree.", "A living room with a table, Christmas tree, television, bookshelves and several other things. ", "A living room with a decorated tree in the corner."], "ocr_tokens": ["X", "VII", "II", "III", "IV", "I"], "ocr_info": [{"word": "X", "bounding_box": {"width": 0.0158, "height": 0.0244, "top_left_x": 0.2458, "top_left_y": 0.1529}}, {"word": "VII", "bounding_box": {"width": 0.0184, "height": 0.0288, "top_left_x": 0.2431, "top_left_y": 0.2026}}, {"word": "II", "bounding_box": {"width": 0.01, "height": 0.0262, "top_left_x": 0.2712, "top_left_y": 0.2358}}, {"word": "III", "bounding_box": {"width": 0.018, "height": 0.0307, "top_left_x": 0.2922, "top_left_y": 0.2164}}, {"word": "IV", "bounding_box": {"width": 0.0155, "height": 0.0157, "top_left_x": 0.2972, "top_left_y": 0.2019}}, {"word": "I", "bounding_box": {"width": 0.0142, "height": 0.0157, "top_left_x": 0.2952, "top_left_y": 0.1768}}], "image_width": 640, "image_height": 427}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [302, 103, 468, 208] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "rrods"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 480, "bbox": [302, 103, 468, 208], "raw_data": {"coco_file_name": "COCO_train2014_000000080950.jpg", "image_id": "80950", "caption": ["A stage coach with a pile of white teddy bears on top of it.", "a large teddy bear with many small teddy bears in a wagon with a guard standing by", "A teddy bear is large next to a wagon.", "A Christmas display of a teddy bear on an antique toy carriage and a cardboard cutout of a man.", "A carriage with white teddy bears in blue jackets on it."], "ocr_tokens": ["rrods", "Harrods"], "ocr_info": [{"word": "rrods", "bounding_box": {"width": 0.2591, "height": 0.2185, "top_left_x": 0.473, "top_left_y": 0.216}}, {"word": "Harrods", "bounding_box": {"width": 0.0875, "height": 0.0923, "top_left_x": 0.1644, "top_left_y": 0.4758}}], "image_width": 640, "image_height": 480}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [372, 279, 412, 305] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "edgers"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 480, "bbox": [372, 279, 412, 305], "raw_data": {"coco_file_name": "COCO_train2014_000000529772.jpg", "image_id": "529772", "caption": ["On a baseball field, a batter is preparing to swing at a pitch, and the catcher is preparing to catch the pitch.", "A baseball player swinging while the catcher waits for the ball.", "The baseball player is starting to swing the bat", "A man holding a baseball bat standing near first base.", "A baseball player gets ready to swing for a ball as the catcher prepares to catch it."], "ocr_tokens": ["edgers", "IA", "Were", "we're", "76", "51", "RZ", "IA", "driver's", "tte", "on", "side", "driver's", "on", "10"], "ocr_info": [{"word": "edgers", "bounding_box": {"width": 0.0631, "height": 0.0556, "top_left_x": 0.5819, "top_left_y": 0.5815}}, {"word": "IA", "bounding_box": {"width": 0.0258, "height": 0.0396, "top_left_x": 0.6716, "top_left_y": 0.6081}}, {"word": "Were", "bounding_box": {"width": 0.0258, "height": 0.0238, "top_left_x": 0.6588, "top_left_y": -0.0004}}, {"word": "we're", "bounding_box": {"width": 0.0294, "height": 0.0279, "top_left_x": 0.885, "top_left_y": 0.0217}}, {"word": "76", "bounding_box": {"width": 0.0245, "height": 0.0467, "top_left_x": 0.8492, "top_left_y": 0.005}}, {"word": "51", "bounding_box": {"width": 0.0548, "height": 0.0692, "top_left_x": 0.8006, "top_left_y": 0.8444}}, {"word": "RZ", "bounding_box": {"width": 0.0458, "height": 0.0267, "top_left_x": 0.8041, "top_left_y": 0.8146}}, {"word": "IA", "bounding_box": {"width": 0.0127, "height": 0.0306, "top_left_x": 0.587, "top_left_y": 0.4715}}, {"word": "driver's", "bounding_box": {"width": 0.0359, "height": 0.0256, "top_left_x": 0.9491, "top_left_y": 0.0306}}, {"word": "tte", "bounding_box": {"width": 0.0181, "height": 0.026, "top_left_x": 0.9306, "top_left_y": 0.0254}}, {"word": "on", "bounding_box": {"width": 0.0156, "height": 0.0231, "top_left_x": 0.9144, "top_left_y": 0.0279}}, {"word": "side", "bounding_box": {"width": 0.0217, "height": 0.0296, "top_left_x": 0.7512, "top_left_y": 0.0069}}, {"word": "driver's", "bounding_box": {"width": 0.0327, "height": 0.029, "top_left_x": 0.7186, "top_left_y": 0.0038}}, {"word": "on", "bounding_box": {"width": 0.0141, "height": 0.0204, "top_left_x": 0.6853, "top_left_y": 0.0038}}, {"word": "10", "bounding_box": {"width": 0.0233, "height": 0.0294, "top_left_x": 0.6242, "top_left_y": -0.0027}}], "image_width": 640, "image_height": 480}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [295, 81, 319, 98] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "Del"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 427, "bbox": [295, 81, 319, 98], "raw_data": {"coco_file_name": "COCO_train2014_000000198054.jpg", "image_id": "198054", "caption": ["A tennis player is bending his knees to the side to hit the ball. ", "A person standing on top of a tennis court holding a racquet.", "A man in a yellow shirt hitting a tennis ball ", "a tennis player swinging a racket at a ball", "Athlete returning volley during tennis match on court."], "ocr_tokens": ["Del", "W", "Isner", "15", "Potro", "mirates", "esur", "0", "1", "30", "j", "J", "penSeries.com"], "ocr_info": [{"word": "Del", "bounding_box": {"width": 0.0375, "height": 0.0389, "top_left_x": 0.4611, "top_left_y": 0.1913}}, {"word": "W", "bounding_box": {"width": 0.0325, "height": 0.0574, "top_left_x": 0.5727, "top_left_y": 0.5375}}, {"word": "Isner", "bounding_box": {"width": 0.0542, "height": 0.0389, "top_left_x": 0.4619, "top_left_y": 0.1351}}, {"word": "15", "bounding_box": {"width": 0.0228, "height": 0.0438, "top_left_x": 0.5606, "top_left_y": 0.2803}}, {"word": "Potro", "bounding_box": {"width": 0.0619, "height": 0.0365, "top_left_x": 0.5069, "top_left_y": 0.1974}}, {"word": "mirates", "bounding_box": {"width": 0.1872, "height": 0.0658, "top_left_x": -0.0075, "top_left_y": 0.1267}}, {"word": "esur", "bounding_box": {"width": 0.1239, "height": 0.0693, "top_left_x": 0.8775, "top_left_y": 0.1754}}, {"word": "0", "bounding_box": {"width": 0.0156, "height": 0.033, "top_left_x": 0.6864, "top_left_y": 0.2176}}, {"word": "1", "bounding_box": {"width": 0.0103, "height": 0.0286, "top_left_x": 0.6894, "top_left_y": 0.1637}}, {"word": "30", "bounding_box": {"width": 0.0331, "height": 0.04, "top_left_x": 0.6134, "top_left_y": 0.2859}}, {"word": "j", "bounding_box": {"width": 0.0139, "height": 0.0382, "top_left_x": 0.4313, "top_left_y": 0.1862}}, {"word": "J", "bounding_box": {"width": 0.0156, "height": 0.0295, "top_left_x": 0.4289, "top_left_y": 0.1342}}, {"word": "penSeries.com", "bounding_box": {"width": 0.1394, "height": 0.0363, "top_left_x": 0.0047, "top_left_y": 0.263}}], "image_width": 640, "image_height": 427}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [18, 389, 101, 407] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "EDSONHONG"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 427, "bbox": [18, 389, 101, 407], "raw_data": {"coco_file_name": "COCO_train2014_000000378521.jpg", "image_id": "378521", "caption": ["Four women with tennis rackets are sitting on a bench.", "Four women sit on a bench near a tennis court holding their tennis rackets.", "Three women in different colored uniforms by tennis court.", "four women sitting on a bench and holding onto tennis rackets", "A group of women with tennis rackets sitting on a bench."], "ocr_tokens": ["EDSONHONG", "7", "1", "2", "3", "5"], "ocr_info": [{"word": "EDSONHONG", "bounding_box": {"width": 0.1302, "height": 0.0426, "top_left_x": 0.0287, "top_left_y": 0.9124}}, {"word": "7", "bounding_box": {"width": 0.0094, "height": 0.0328, "top_left_x": 0.8016, "top_left_y": 0.0262}}, {"word": "1", "bounding_box": {"width": 0.0061, "height": 0.0281, "top_left_x": 0.7975, "top_left_y": 0.2274}}, {"word": "2", "bounding_box": {"width": 0.0084, "height": 0.03, "top_left_x": 0.7975, "top_left_y": 0.1948}}, {"word": "3", "bounding_box": {"width": 0.0087, "height": 0.0328, "top_left_x": 0.7981, "top_left_y": 0.1581}}, {"word": "5", "bounding_box": {"width": 0.0094, "height": 0.0326, "top_left_x": 0.7992, "top_left_y": 0.0939}}], "image_width": 640, "image_height": 427}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [371, 354, 430, 376] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "EVENT"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 480, "image_height": 640, "bbox": [371, 354, 430, 376], "raw_data": {"coco_file_name": "COCO_train2014_000000306207.jpg", "image_id": "306207", "caption": ["A road construction sign sitting under a tree next to a sidewalk.", "A picture of a street and a sign.", "A street scene with a man on the sidewalk holding a sign.", "We see a street scene in a large city.", "A busy street with an under construction sign by the tree."], "ocr_tokens": ["EVENT", "PARKING", "40", "ROAD", "CONSTRUCTION", "TO", "CONVENIENT", "AHEAD"], "ocr_info": [{"word": "EVENT", "bounding_box": {"width": 0.1237, "height": 0.0344, "top_left_x": 0.7742, "top_left_y": 0.5542}}, {"word": "PARKING", "bounding_box": {"width": 0.151, "height": 0.0361, "top_left_x": 0.7565, "top_left_y": 0.597}}, {"word": "40", "bounding_box": {"width": 0.0571, "height": 0.0386, "top_left_x": 0.8231, "top_left_y": 0.4891}}, {"word": "ROAD", "bounding_box": {"width": 0.05, "height": 0.0206, "top_left_x": 0.4244, "top_left_y": 0.4083}}, {"word": "CONSTRUCTION", "bounding_box": {"width": 0.1344, "height": 0.0194, "top_left_x": 0.385, "top_left_y": 0.4355}}, {"word": "TO", "bounding_box": {"width": 0.024, "height": 0.0109, "top_left_x": 0.881, "top_left_y": 0.5356}}, {"word": "CONVENIENT", "bounding_box": {"width": 0.1021, "height": 0.01, "top_left_x": 0.7744, "top_left_y": 0.5403}}, {"word": "AHEAD", "bounding_box": {"width": 0.0631, "height": 0.0202, "top_left_x": 0.4198, "top_left_y": 0.4614}}], "image_width": 480, "image_height": 640}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [-2, 355, 25, 427] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "Q"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 604, "image_height": 640, "bbox": [-2, 355, 25, 427], "raw_data": {"coco_file_name": "COCO_train2014_000000331549.jpg", "image_id": "331549", "caption": ["A man shaking another mans hand while standing on a tennis court.", "Tow tennis players shaking hands over the net", "an image of two tennis players shaking hands on the court", "Two tennis opponents shake hands at the net.", "two men just finishing or starting a tennis match. they are shaking hands"], "ocr_tokens": ["Q", "U5", "OPEN", "US OPEN SERIES", "SERTES", "OPEN"], "ocr_info": [{"word": "Q", "bounding_box": {"width": 0.0464, "height": 0.112, "top_left_x": -0.0035, "top_left_y": 0.5559}}, {"word": "U5", "bounding_box": {"width": 0.0171, "height": 0.0145, "top_left_x": 0.3545, "top_left_y": 0.0292}}, {"word": "OPEN", "bounding_box": {"width": 0.0346, "height": 0.017, "top_left_x": 0.373, "top_left_y": 0.0242}}, {"word": "US OPEN SERIES", "bounding_box": {"width": 0.0399, "height": 0.0161, "top_left_x": 0.3634, "top_left_y": 0.0362}}, {"word": "SERTES", "bounding_box": {"width": 0.0449, "height": 0.0156, "top_left_x": 0.6945, "top_left_y": 0.0102}}, {"word": "OPEN", "bounding_box": {"width": 0.0358, "height": 0.0144, "top_left_x": 0.7075, "top_left_y": -0.0031}}], "image_width": 604, "image_height": 640}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [249, 334, 373, 418] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "Shakespeare's Pizza"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 480, "image_height": 640, "bbox": [249, 334, 373, 418], "raw_data": {"coco_file_name": "COCO_train2014_000000506955.jpg", "image_id": "506955", "caption": ["A black and white cat sitting on to of a table drinking from a glass.", "A cat sitting on a wooden table drinking out of cup.", "A cat drinking water out of a plastic cup.", "A cat sipping from a cup held by a person.", "A cat being offered water in a glass."], "ocr_tokens": ["Shakespeare's Pizza"], "ocr_info": [{"word": "Shakespeare's Pizza", "bounding_box": {"width": 0.2598, "height": 0.13, "top_left_x": 0.5188, "top_left_y": 0.5234}}], "image_width": 480, "image_height": 640}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [382, 44, 428, 112] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "SIEME"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 427, "image_height": 640, "bbox": [382, 44, 428, 112], "raw_data": {"coco_file_name": "COCO_train2014_000000053696.jpg", "image_id": "53696", "caption": ["A white motorcycle parked in a museum on a black floor.", "A close up of a white concept motorcycle on display.", "A back view of a white and blue motorcycle.", "Very aesthetic motorcycle on display with good lighting.", "a motorcycle on display in front of a company sign "], "ocr_tokens": ["SIEME"], "ocr_info": [{"word": "SIEME", "bounding_box": {"width": 0.1066, "height": 0.105, "top_left_x": 0.8967, "top_left_y": 0.0702}}], "image_width": 427, "image_height": 640}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [416, 120, 433, 134] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "HITEI"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 427, "bbox": [416, 120, 433, 134], "raw_data": {"coco_file_name": "COCO_train2014_000000554891.jpg", "image_id": "554891", "caption": ["A couple sits outside at the wooden table as people walk by.", "Long view of the outside of a restaurant with two people sitting at a table and a man walking down the street.", "A city street lined with tables and benches to eat", "A row of wooden benches sitting in front of a building.", "A row of wooden tables next to building and bicycles."], "ocr_tokens": ["HITEI", "EBEXD"], "ocr_info": [{"word": "HITEI", "bounding_box": {"width": 0.0272, "height": 0.0328, "top_left_x": 0.6508, "top_left_y": 0.2824}}, {"word": "EBEXD", "bounding_box": {"width": 0.0289, "height": 0.0173, "top_left_x": 0.6478, "top_left_y": 0.319}}], "image_width": 640, "image_height": 427}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [16, -3, 346, 94] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "PLANTERS"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 427, "image_height": 640, "bbox": [16, -3, 346, 94], "raw_data": {"coco_file_name": "COCO_train2014_000000537382.jpg", "image_id": "537382", "caption": ["A packet of salted peanuts and a peeled banana", "Close up of an open banana peal with half of a banana in it and an egg and mustard wheat English muffin sandwich on a white plate with a container of salted peanuts behind.", "A peanut butter and banana sandwich on an english muffin.", "A plate with some banana and some salted peanuts.", "An English Muffin sandwich filled with peanut butter and bananas. "], "ocr_tokens": ["PLANTERS", "Salted"], "ocr_info": [{"word": "PLANTERS", "bounding_box": {"width": 0.7738, "height": 0.1525, "top_left_x": 0.0377, "top_left_y": -0.005}}, {"word": "Salted", "bounding_box": {"width": 0.3297, "height": 0.08, "top_left_x": 0.4087, "top_left_y": 0.1487}}], "image_width": 427, "image_height": 640}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [8, 91, 14, 101] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "P"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 427, "bbox": [8, 91, 14, 101], "raw_data": {"coco_file_name": "COCO_train2014_000000213215.jpg", "image_id": "213215", "caption": ["A man riding a bike past a rows of parked motor cycles", "A long row of parked motorcycles and a bicyclist riding past them.", "a group of motorcycles are lined up against the sidewalk", "A row of motorcycles parked on a city street.", " a bunch of motorcycles are in a parking lot"], "ocr_tokens": ["P", "ETRADE"], "ocr_info": [{"word": "P", "bounding_box": {"width": 0.0105, "height": 0.0237, "top_left_x": 0.0125, "top_left_y": 0.215}}, {"word": "ETRADE", "bounding_box": {"width": 0.1098, "height": 0.0246, "top_left_x": 0.1619, "top_left_y": 0.0438}}], "image_width": 640, "image_height": 427}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [190, 125, 231, 166] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "50 t"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 480, "image_height": 640, "bbox": [190, 125, 231, 166], "raw_data": {"coco_file_name": "COCO_train2014_000000337062.jpg", "image_id": "337062", "caption": ["A stop sign, below a street sign, stands on a corner ", "Two green street signs above a stop sign.", "A red stop under two green street signs.", "a stop sign sits in front of a city street ", "A stop sign at the corner of 60th and Stanford Ave."], "ocr_tokens": ["50 t", "th", "930", "Stanford", "STOP", "950", "AVE", "OPO"], "ocr_info": [{"word": "50 t", "bounding_box": {"width": 0.085, "height": 0.0638, "top_left_x": 0.3979, "top_left_y": 0.1956}}, {"word": "th", "bounding_box": {"width": 0.04, "height": 0.0362, "top_left_x": 0.4729, "top_left_y": 0.1794}}, {"word": "930", "bounding_box": {"width": 0.0633, "height": 0.0563, "top_left_x": 0.5046, "top_left_y": 0.1856}}, {"word": "Stanford", "bounding_box": {"width": 0.2317, "height": 0.1663, "top_left_x": 0.3762, "top_left_y": 0.2431}}, {"word": "STOP", "bounding_box": {"width": 0.4283, "height": 0.1575, "top_left_x": 0.2562, "top_left_y": 0.4619}}, {"word": "950", "bounding_box": {"width": 0.0425, "height": 0.0331, "top_left_x": 0.6183, "top_left_y": 0.4064}}, {"word": "AVE", "bounding_box": {"width": 0.0377, "height": 0.0317, "top_left_x": 0.6154, "top_left_y": 0.363}}, {"word": "OPO", "bounding_box": {"width": 0.21, "height": 0.0938, "top_left_x": 0.3779, "top_left_y": 0.6334}}], "image_width": 480, "image_height": 640}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [73, 115, 137, 150] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "SLOW"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 426, "image_height": 640, "bbox": [73, 115, 137, 150], "raw_data": {"coco_file_name": "COCO_train2014_000000198923.jpg", "image_id": "198923", "caption": ["A person on a snow board on a big snowy hill.", "A snow boarder is in the air while several people watch.", "A man is snowboarding on a snowy hill top.", "A person in winter gear does a trick on a snowboard. ", "Person jumping in the air on a snowboard while three stand in the distance watching."], "ocr_tokens": ["SLOW"], "ocr_info": [{"word": "SLOW", "bounding_box": {"width": 0.1502, "height": 0.055, "top_left_x": 0.1735, "top_left_y": 0.1803}}], "image_width": 426, "image_height": 640}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [129, 492, 253, 606] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "CLEAR"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 480, "image_height": 640, "bbox": [129, 492, 253, 606], "raw_data": {"coco_file_name": "COCO_train2014_000000422469.jpg", "image_id": "422469", "caption": ["A parking meter sitting next to a street across from a parked car.", "A car is parked on the side of the street.", "A parking lot ticket machine stands at the entrance of a parking area.", "a double silver red blue and yellow parking meter a street and a car", "A digital parking meter on the side of a street."], "ocr_tokens": ["CLEAR", "KEEP"], "ocr_info": [{"word": "CLEAR", "bounding_box": {"width": 0.2581, "height": 0.178, "top_left_x": 0.2694, "top_left_y": 0.7702}}, {"word": "KEEP", "bounding_box": {"width": 0.1817, "height": 0.0912, "top_left_x": 0.2219, "top_left_y": 0.6867}}], "image_width": 480, "image_height": 640}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [481, 212, 499, 222] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "TPX"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 427, "bbox": [481, 212, 499, 222], "raw_data": {"coco_file_name": "COCO_train2014_000000229622.jpg", "image_id": "229622", "caption": ["Two baseball players holding bats standing in the dugout.", "two baseball players stand in the dugout holding bats", "some baseball players in a dugout with bats and a fan", "two baseball players standing with bats near one another", "Two baseball players are standing in a dugout."], "ocr_tokens": ["TPX", "Daytona"], "ocr_info": [{"word": "TPX", "bounding_box": {"width": 0.028, "height": 0.0239, "top_left_x": 0.7517, "top_left_y": 0.4974}}, {"word": "Daytona", "bounding_box": {"width": 0.1089, "height": 0.1155, "top_left_x": 0.6158, "top_left_y": 0.2829}}], "image_width": 640, "image_height": 427}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [298, 122, 355, 139] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "SCHOOL"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 480, "bbox": [298, 122, 355, 139], "raw_data": {"coco_file_name": "COCO_train2014_000000048784.jpg", "image_id": "48784", "caption": ["A school bus is parked in the parking space.", "The school bus is parked in the parking lot. ", "A school bus parked in a parking lot. ", "A yellow school bus in a parking lot near trees.", "A close up of a school bus parked in a parking lot."], "ocr_tokens": ["SCHOOL", "BUS"], "ocr_info": [{"word": "SCHOOL", "bounding_box": {"width": 0.0892, "height": 0.0367, "top_left_x": 0.4664, "top_left_y": 0.2546}}, {"word": "BUS", "bounding_box": {"width": 0.0428, "height": 0.0379, "top_left_x": 0.5667, "top_left_y": 0.254}}], "image_width": 640, "image_height": 480}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [211, 146, 240, 164] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "BRITISH"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 360, "bbox": [211, 146, 240, 164], "raw_data": {"coco_file_name": "COCO_train2014_000000376128.jpg", "image_id": "376128", "caption": ["there is a very large plane taking off from the airport", "A airplane that is sitting on a runway.", "A plane is landing on a runway in the middle of the afternoon.", "A commercial airplane on the runway with the jets on.", "A large jetliner landing on top of a runway."], "ocr_tokens": ["BRITISH", "AIRWAYS"], "ocr_info": [{"word": "BRITISH", "bounding_box": {"width": 0.0462, "height": 0.05, "top_left_x": 0.3298, "top_left_y": 0.4056}}, {"word": "AIRWAYS", "bounding_box": {"width": 0.0452, "height": 0.0489, "top_left_x": 0.3763, "top_left_y": 0.4261}}], "image_width": 640, "image_height": 360}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [14, 56, 37, 70] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "AIRCEL"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 463, "bbox": [14, 56, 37, 70], "raw_data": {"coco_file_name": "COCO_train2014_000000442312.jpg", "image_id": "442312", "caption": ["Several cows standing on a street full of people, bicycles, buildings and a camel.", "There are two cows standing in the road.", "a couple of cows sit in a plaza full of people ", "A couple of cows standing on a street.", "A couple of cows walking down the road."], "ocr_tokens": ["AIRCEL", "A.C."], "ocr_info": [{"word": "AIRCEL", "bounding_box": {"width": 0.0369, "height": 0.03, "top_left_x": 0.0222, "top_left_y": 0.1214}}, {"word": "A.C.", "bounding_box": {"width": 0.0266, "height": 0.0188, "top_left_x": 0.8211, "top_left_y": 0.3056}}], "image_width": 640, "image_height": 463}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [177, 380, 270, 411] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "STOP"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 480, "image_height": 640, "bbox": [177, 380, 270, 411], "raw_data": {"coco_file_name": "COCO_train2014_000000130733.jpg", "image_id": "130733", "caption": ["A red and white stop sign on a city street. ", "A red stop sign at the end of the street", "A stop sign written in two different languages", "Stop sign in a foreign country with a letter missing.", "The stop sign is posted in two languages."], "ocr_tokens": ["STOP"], "ocr_info": [{"word": "STOP", "bounding_box": {"width": 0.1933, "height": 0.0484, "top_left_x": 0.3704, "top_left_y": 0.5953}}], "image_width": 480, "image_height": 640}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [257, 123, 291, 170] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "ETEL"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 396, "bbox": [257, 123, 291, 170], "raw_data": {"coco_file_name": "COCO_train2014_000000311250.jpg", "image_id": "311250", "caption": ["A small airplane is in the air against a blue sky.", "A small plane flys through the blue sky.", "A small plane flying overhead with a clear sky", "A plane flying high up in the sky.", "There is a small plane flying in the air."], "ocr_tokens": ["ETEL", "D", "U"], "ocr_info": [{"word": "ETEL", "bounding_box": {"width": 0.0525, "height": 0.1189, "top_left_x": 0.4023, "top_left_y": 0.3129}}, {"word": "D", "bounding_box": {"width": 0.032, "height": 0.0331, "top_left_x": 0.4361, "top_left_y": 0.4465}}, {"word": "U", "bounding_box": {"width": 0.0105, "height": 0.021, "top_left_x": 0.5486, "top_left_y": 0.4674}}], "image_width": 640, "image_height": 396}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [336, 188, 378, 204] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "KONA"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 427, "bbox": [336, 188, 378, 204], "raw_data": {"coco_file_name": "COCO_train2014_000000427150.jpg", "image_id": "427150", "caption": ["Large white surfboard sitting on a living room wall. ", "A surfboard is suspended above the rafters in a restaurant.", "a beer sign hangs above the kitchen in a restaurant.", "there is a surfboard that is hanging on a wall", "A surf board on display in a building. "], "ocr_tokens": ["KONA", "CO", "PUNA", "WEEK", "WEEK", "SALAD", "SLKE", "BEER", "GARDEN ALE"], "ocr_info": [{"word": "KONA", "bounding_box": {"width": 0.0653, "height": 0.0382, "top_left_x": 0.5264, "top_left_y": 0.4403}}, {"word": "CO", "bounding_box": {"width": 0.0231, "height": 0.0279, "top_left_x": 0.5808, "top_left_y": 0.5304}}, {"word": "PUNA", "bounding_box": {"width": 0.0417, "height": 0.0391, "top_left_x": 0.1191, "top_left_y": 0.8454}}, {"word": "WEEK", "bounding_box": {"width": 0.0366, "height": 0.0311, "top_left_x": 0.0681, "top_left_y": 0.8143}}, {"word": "WEEK", "bounding_box": {"width": 0.0392, "height": 0.0429, "top_left_x": 0.0802, "top_left_y": 0.6731}}, {"word": "SALAD", "bounding_box": {"width": 0.0442, "height": 0.0457, "top_left_x": 0.1505, "top_left_y": 0.7885}}, {"word": "SLKE", "bounding_box": {"width": 0.0442, "height": 0.0443, "top_left_x": 0.1047, "top_left_y": 0.8019}}, {"word": "BEER", "bounding_box": {"width": 0.0345, "height": 0.0326, "top_left_x": 0.0206, "top_left_y": 0.8272}}, {"word": "GARDEN ALE", "bounding_box": {"width": 0.0602, "height": 0.0492, "top_left_x": 0.013, "top_left_y": 0.8672}}], "image_width": 640, "image_height": 427}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [136, 103, 155, 113] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "WHO"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 480, "bbox": [136, 103, 155, 113], "raw_data": {"coco_file_name": "COCO_train2014_000000104328.jpg", "image_id": "104328", "caption": ["Players on a baseball field during a game.", "A large crowd is watching a baseball game.", "A man is up to bat at professional baseball game.", "a man holding up his baseball bat during a baseball game ", "several of the baseball players are in view"], "ocr_tokens": ["WHO", "BUT", "W.B.MASON", "Supplies", "SONY", "BRAVIA", "LCD", "TV", "314FT.", "KYOCERA", "7", "Empire", "HARP"], "ocr_info": [{"word": "WHO", "bounding_box": {"width": 0.0287, "height": 0.0198, "top_left_x": 0.2139, "top_left_y": 0.2165}}, {"word": "BUT", "bounding_box": {"width": 0.0227, "height": 0.0183, "top_left_x": 0.2453, "top_left_y": 0.2158}}, {"word": "W.B.MASON", "bounding_box": {"width": 0.1605, "height": 0.0725, "top_left_x": 0.2202, "top_left_y": 0.2075}}, {"word": "Supplies", "bounding_box": {"width": 0.0536, "height": 0.0248, "top_left_x": 0.3397, "top_left_y": 0.2546}}, {"word": "SONY", "bounding_box": {"width": 0.085, "height": 0.0256, "top_left_x": 0.583, "top_left_y": 0.2277}}, {"word": "BRAVIA", "bounding_box": {"width": 0.0844, "height": 0.026, "top_left_x": 0.6828, "top_left_y": 0.2285}}, {"word": "LCD", "bounding_box": {"width": 0.0255, "height": 0.0167, "top_left_x": 0.702, "top_left_y": 0.2602}}, {"word": "TV", "bounding_box": {"width": 0.0172, "height": 0.0167, "top_left_x": 0.728, "top_left_y": 0.2596}}, {"word": "314FT.", "bounding_box": {"width": 0.0495, "height": 0.0306, "top_left_x": 0.8187, "top_left_y": 0.2092}}, {"word": "KYOCERA", "bounding_box": {"width": 0.0705, "height": 0.0238, "top_left_x": 0.3892, "top_left_y": 0.0079}}, {"word": "7", "bounding_box": {"width": 0.0156, "height": 0.0219, "top_left_x": 0.4747, "top_left_y": 0.0031}}, {"word": "Empire", "bounding_box": {"width": 0.0553, "height": 0.0331, "top_left_x": 0.2483, "top_left_y": 0.0046}}, {"word": "HARP", "bounding_box": {"width": 0.0838, "height": 0.0288, "top_left_x": -0.0011, "top_left_y": 0.1673}}], "image_width": 640, "image_height": 480}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [228, 163, 287, 191] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "interjet"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 425, "bbox": [228, 163, 287, 191], "raw_data": {"coco_file_name": "COCO_train2014_000000262541.jpg", "image_id": "262541", "caption": ["A jetliner flying above a countryside filled with many rivers.", "A jet flying at a relatively low altitude", "An aircraft flying low over rivers next to an airport", "A plane begins to prepare to land at the airport", "A big grey and blue airplane that is flying above."], "ocr_tokens": ["interjet"], "ocr_info": [{"word": "interjet", "bounding_box": {"width": 0.0933, "height": 0.0652, "top_left_x": 0.3564, "top_left_y": 0.3854}}], "image_width": 640, "image_height": 425}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [125, 101, 136, 112] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "27"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 500, "image_height": 375, "bbox": [125, 101, 136, 112], "raw_data": {"coco_file_name": "COCO_train2014_000000554464.jpg", "image_id": "554464", "caption": ["A boy hits a ball with a bat.", "a young baseball player swinging a bat on a field ", "A child learns to hit a baseball using a batting tee at practice.", "Some little kids are outdoors playing a game of Tball.", "A group of young boys play a game of tee ball."], "ocr_tokens": ["27"], "ocr_info": [{"word": "27", "bounding_box": {"width": 0.0216, "height": 0.0299, "top_left_x": 0.2504, "top_left_y": 0.2696}}], "image_width": 500, "image_height": 375}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [82, 252, 116, 271] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "Team"}
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fine-grained text recognition en
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COCO-Text
|
{"image_width": 640, "image_height": 427, "bbox": [82, 252, 116, 271], "raw_data": {"coco_file_name": "COCO_train2014_000000197718.jpg", "image_id": "197718", "caption": ["a group of guys standing next to a tv holding a remote", "Three men standing together in front of a large screen television and one of them holding a Wii video game controller.", "Three young men are standing in front of a screen", "The three boys are standing in front of a tv.", "The men are playing on the video game together"], "ocr_tokens": ["Team", "Awesome", "Team", "Awesome", "Awesome", "Team"], "ocr_info": [{"word": "Team", "bounding_box": {"width": 0.053, "height": 0.045, "top_left_x": 0.1292, "top_left_y": 0.5906}}, {"word": "Awesome", "bounding_box": {"width": 0.085, "height": 0.0541, "top_left_x": 0.1222, "top_left_y": 0.6309}}, {"word": "Team", "bounding_box": {"width": 0.05, "height": 0.0403, "top_left_x": 0.3472, "top_left_y": 0.6356}}, {"word": "Awesome", "bounding_box": {"width": 0.08, "height": 0.0436, "top_left_x": 0.3322, "top_left_y": 0.6909}}, {"word": "Awesome", "bounding_box": {"width": 0.0891, "height": 0.0541, "top_left_x": 0.8102, "top_left_y": 0.6009}}, {"word": "Team", "bounding_box": {"width": 0.053, "height": 0.045, "top_left_x": 0.8442, "top_left_y": 0.5532}}], "image_width": 640, "image_height": 427}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [121, 300, 291, 353] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "SASAMA"}
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fine-grained text recognition en
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COCO-Text
|
{"image_width": 480, "image_height": 640, "bbox": [121, 300, 291, 353], "raw_data": {"coco_file_name": "COCO_train2014_000000218759.jpg", "image_id": "218759", "caption": ["a young boy is eating a piece of cake", "A little boy sitting at a table eating cake.", "A child eating a slice of sponge cake.", "A young boy eating a slice of cake at a table.", "A boy eating cake sitting at a table."], "ocr_tokens": ["SASAMA", "Chien", "uh"], "ocr_info": [{"word": "SASAMA", "bounding_box": {"width": 0.3542, "height": 0.0825, "top_left_x": 0.2535, "top_left_y": 0.4703}}, {"word": "Chien", "bounding_box": {"width": 0.4188, "height": 0.118, "top_left_x": 0.2198, "top_left_y": 0.8678}}, {"word": "uh", "bounding_box": {"width": 0.28, "height": 0.0789, "top_left_x": 0.6706, "top_left_y": 0.9083}}], "image_width": 480, "image_height": 640}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [127, 42, 184, 72] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "wII"}
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fine-grained text recognition en
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COCO-Text
|
{"image_width": 640, "image_height": 480, "bbox": [127, 42, 184, 72], "raw_data": {"coco_file_name": "COCO_train2014_000000540728.jpg", "image_id": "540728", "caption": ["A woman with a nice booty playing a game on the Nintendo Wii.", "A woman plays a wii game that is on display at a convention. ", "Some people at an event near a video game display.", "People stand in front of Wii game stands.", "A lady is paying the Wii at the store while a man looks on. "], "ocr_tokens": ["wII", "Wii"], "ocr_info": [{"word": "wII", "bounding_box": {"width": 0.0891, "height": 0.0629, "top_left_x": 0.1991, "top_left_y": 0.0888}}, {"word": "Wii", "bounding_box": {"width": 0.032, "height": 0.0404, "top_left_x": 0.7359, "top_left_y": 0.15}}], "image_width": 640, "image_height": 480}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [289, 402, 308, 416] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "SL"}
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fine-grained text recognition en
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COCO-Text
|
{"image_width": 640, "image_height": 425, "bbox": [289, 402, 308, 416], "raw_data": {"coco_file_name": "COCO_train2014_000000504988.jpg", "image_id": "504988", "caption": ["Three men in uniform putting food on the plate.", "A military mess hall with food being dished out.", "The mess hall tent of an army operation", "The service man is putting meat on the tray.", "Military men with U.S. Army uniforms serving food onto trays."], "ocr_tokens": ["SL", "BANK'S"], "ocr_info": [{"word": "SL", "bounding_box": {"width": 0.0289, "height": 0.0332, "top_left_x": 0.4528, "top_left_y": 0.9473}}, {"word": "BANK'S", "bounding_box": {"width": 0.0416, "height": 0.0322, "top_left_x": 0.7766, "top_left_y": 0.412}}], "image_width": 640, "image_height": 425}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [250, 156, 397, 204] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "LONDON"}
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fine-grained text recognition en
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COCO-Text
|
{"image_width": 640, "image_height": 480, "bbox": [250, 156, 397, 204], "raw_data": {"coco_file_name": "COCO_train2014_000000103390.jpg", "image_id": "103390", "caption": ["The city street sign is near a metal gate.", "A street sign with street name and city location on it.", "A street sign in in front of a fence and bushes", "The street sign on the corner tells the location.", "A street sign sits on the corner of a municipality in England. "], "ocr_tokens": ["LONDON", "STREET", "W2", "CITY", "OF", "WESTMINSTER"], "ocr_info": [{"word": "LONDON", "bounding_box": {"width": 0.2288, "height": 0.0998, "top_left_x": 0.3919, "top_left_y": 0.3258}}, {"word": "STREET", "bounding_box": {"width": 0.2078, "height": 0.1119, "top_left_x": 0.3894, "top_left_y": 0.4315}}, {"word": "W2", "bounding_box": {"width": 0.0642, "height": 0.0825, "top_left_x": 0.6248, "top_left_y": 0.4208}}, {"word": "CITY", "bounding_box": {"width": 0.0575, "height": 0.0487, "top_left_x": 0.3916, "top_left_y": 0.5898}}, {"word": "OF", "bounding_box": {"width": 0.0342, "height": 0.044, "top_left_x": 0.4591, "top_left_y": 0.5806}}, {"word": "WESTMINSTER", "bounding_box": {"width": 0.1534, "height": 0.0675, "top_left_x": 0.4973, "top_left_y": 0.5502}}], "image_width": 640, "image_height": 480}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [427, 577, 472, 595] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "TEA"}
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fine-grained text recognition en
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COCO-Text
|
{"image_width": 480, "image_height": 640, "bbox": [427, 577, 472, 595], "raw_data": {"coco_file_name": "COCO_train2014_000000176767.jpg", "image_id": "176767", "caption": ["Some stuffed animals that are on the ground standing up.", "A lot of decorative stuff animals are sitting in the chair", "teddy bears behind a large display glass ", "There is a group of teddy bears posed.", "a store front has many stuffed animals on display"], "ocr_tokens": ["TEA"], "ocr_info": [{"word": "TEA", "bounding_box": {"width": 0.0944, "height": 0.0286, "top_left_x": 0.8906, "top_left_y": 0.9023}}], "image_width": 480, "image_height": 640}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [25, 231, 45, 249] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "PHLE"}
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fine-grained text recognition en
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COCO-Text
|
{"image_width": 640, "image_height": 480, "bbox": [25, 231, 45, 249], "raw_data": {"coco_file_name": "COCO_train2014_000000267435.jpg", "image_id": "267435", "caption": ["Two men sitting at a table with a basket of pastry.", "Two men eating and drinking at the table.", "Two men are at a table with bread and coffee.", "Two men at a table with some gifts, and one holding a basket of food.", "Two men sitting at a dining table with food."], "ocr_tokens": ["PHLE"], "ocr_info": [{"word": "PHLE", "bounding_box": {"width": 0.0302, "height": 0.0362, "top_left_x": 0.0403, "top_left_y": 0.4827}}], "image_width": 640, "image_height": 480}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [401, 285, 454, 319] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "Fresh"}
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fine-grained text recognition en
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COCO-Text
|
{"image_width": 640, "image_height": 480, "bbox": [401, 285, 454, 319], "raw_data": {"coco_file_name": "COCO_train2014_000000377251.jpg", "image_id": "377251", "caption": ["an image of a family making homemade pizza", "Two trays of pizzas with various bowls of vegetables.", "Small children look on while the adults make homemade pizzas.", "A small child looks over two pans of pizza", "A child sits at a table littered with different foods."], "ocr_tokens": ["Fresh", "EXPRESS", "Spinach"], "ocr_info": [{"word": "Fresh", "bounding_box": {"width": 0.082, "height": 0.0702, "top_left_x": 0.628, "top_left_y": 0.5946}}, {"word": "EXPRESS", "bounding_box": {"width": 0.0839, "height": 0.0481, "top_left_x": 0.6192, "top_left_y": 0.6412}}, {"word": "Spinach", "bounding_box": {"width": 0.0772, "height": 0.1094, "top_left_x": 0.6203, "top_left_y": 0.6792}}], "image_width": 640, "image_height": 480}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [107, 110, 281, 183] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "SouthDakota"}
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fine-grained text recognition en
|
COCO-Text
|
{"image_width": 640, "image_height": 427, "bbox": [107, 110, 281, 183], "raw_data": {"coco_file_name": "COCO_train2014_000000235976.jpg", "image_id": "235976", "caption": ["A group of people are standing in front of a tourism bus.", "a group of people stand in front of a bus ", "A group of people standing in front of a bus.", "Travel group taking group picture in front of their travel bus", "A group stands in front of a bus."], "ocr_tokens": ["SouthDakota", "GREATFACES", "GREAT PLACES", "TRAVELSO.COM"], "ocr_info": [{"word": "SouthDakota", "bounding_box": {"width": 0.2719, "height": 0.1712, "top_left_x": 0.1677, "top_left_y": 0.2597}}, {"word": "GREATFACES", "bounding_box": {"width": 0.0728, "height": 0.0513, "top_left_x": 0.3103, "top_left_y": 0.3869}}, {"word": "GREAT PLACES", "bounding_box": {"width": 0.0742, "height": 0.0527, "top_left_x": 0.3803, "top_left_y": 0.4108}}, {"word": "TRAVELSO.COM", "bounding_box": {"width": 0.087, "height": 0.0539, "top_left_x": 0.7892, "top_left_y": 0.4639}}], "image_width": 640, "image_height": 427}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [121, 275, 371, 319] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "RESTAURANT"}
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fine-grained text recognition en
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COCO-Text
|
{"image_width": 640, "image_height": 480, "bbox": [121, 275, 371, 319], "raw_data": {"coco_file_name": "COCO_train2014_000000380651.jpg", "image_id": "380651", "caption": ["A sign for Madam's Organ Restaurant & Bar hangs on the side of a building.", "A sign for a restaurant and bar on a building.", "A sign that has writing on the side of a building.", "a wooden sign with pink writing for bar and restaurant", "A picture of Madam Organ's Restaurant and Bar sign."], "ocr_tokens": ["RESTAURANT", "BAR", "MADAM'S", "ORGAN", "Heart", "of", "the", "Adams", "morgan", "Soul", "and", "&"], "ocr_info": [{"word": "RESTAURANT", "bounding_box": {"width": 0.392, "height": 0.0919, "top_left_x": 0.1892, "top_left_y": 0.5733}}, {"word": "BAR", "bounding_box": {"width": 0.138, "height": 0.0881, "top_left_x": 0.6622, "top_left_y": 0.5652}}, {"word": "MADAM'S", "bounding_box": {"width": 0.5819, "height": 0.2721, "top_left_x": 0.2283, "top_left_y": 0.0585}}, {"word": "ORGAN", "bounding_box": {"width": 0.578, "height": 0.2533, "top_left_x": 0.2042, "top_left_y": 0.3146}}, {"word": "Heart", "bounding_box": {"width": 0.2191, "height": 0.0987, "top_left_x": 0.2802, "top_left_y": 0.6746}}, {"word": "of", "bounding_box": {"width": 0.0825, "height": 0.0854, "top_left_x": 0.2081, "top_left_y": 0.769}}, {"word": "the", "bounding_box": {"width": 0.1019, "height": 0.0773, "top_left_x": 0.1777, "top_left_y": 0.6867}}, {"word": "Adams", "bounding_box": {"width": 0.2347, "height": 0.09, "top_left_x": 0.2873, "top_left_y": 0.7621}}, {"word": "morgan", "bounding_box": {"width": 0.252, "height": 0.0879, "top_left_x": 0.5272, "top_left_y": 0.765}}, {"word": "Soul", "bounding_box": {"width": 0.1719, "height": 0.0904, "top_left_x": 0.6194, "top_left_y": 0.6656}}, {"word": "and", "bounding_box": {"width": 0.1219, "height": 0.0783, "top_left_x": 0.4966, "top_left_y": 0.679}}, {"word": "&", "bounding_box": {"width": 0.0788, "height": 0.111, "top_left_x": 0.5777, "top_left_y": 0.5608}}], "image_width": 640, "image_height": 480}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [185, 219, 239, 229] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "JAPAN"}
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fine-grained text recognition en
|
COCO-Text
|
{"image_width": 640, "image_height": 425, "bbox": [185, 219, 239, 229], "raw_data": {"coco_file_name": "COCO_train2014_000000559438.jpg", "image_id": "559438", "caption": ["A large Japan Airlines jet landing on a runway.", "an airplane sitting next to a large body of water", "A plane coming in for a landing over water.", "A Japan airline plane resting on the runway", "A airplane on the tarmac next to the ocean. "], "ocr_tokens": ["JAPAN", "AIRLINES", "SAL"], "ocr_info": [{"word": "JAPAN", "bounding_box": {"width": 0.0845, "height": 0.0214, "top_left_x": 0.2894, "top_left_y": 0.5176}}, {"word": "AIRLINES", "bounding_box": {"width": 0.1247, "height": 0.0219, "top_left_x": 0.3806, "top_left_y": 0.5139}}, {"word": "SAL", "bounding_box": {"width": 0.0264, "height": 0.0167, "top_left_x": 0.8002, "top_left_y": 0.4452}}], "image_width": 640, "image_height": 425}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [252, 211, 276, 218] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "POLICE"}
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fine-grained text recognition en
|
COCO-Text
|
{"image_width": 640, "image_height": 480, "bbox": [252, 211, 276, 218], "raw_data": {"coco_file_name": "COCO_train2014_000000346544.jpg", "image_id": "346544", "caption": ["there are two cars parked in this parking lot", "Two parked cars in front of a single story building.", "The police car is parked right next to the pick up truck. ", "A truck sitting next to a police car at a building.", "A police car is parked next to a truck at the side of a building."], "ocr_tokens": ["POLICE"], "ocr_info": [{"word": "POLICE", "bounding_box": {"width": 0.0383, "height": 0.0148, "top_left_x": 0.3945, "top_left_y": 0.4413}}], "image_width": 640, "image_height": 480}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [473, 196, 534, 229] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "8141"}
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fine-grained text recognition en
|
COCO-Text
|
{"image_width": 640, "image_height": 427, "bbox": [473, 196, 534, 229], "raw_data": {"coco_file_name": "COCO_train2014_000000295334.jpg", "image_id": "295334", "caption": ["a train on a train track with buildings in the background", "A yellow and black train is at a stop ", "A train is stopped next to an open air station.", "A large long train on a steel track.", "A train that is traveling down railroad tracks."], "ocr_tokens": ["8141", "8141"], "ocr_info": [{"word": "8141", "bounding_box": {"width": 0.0948, "height": 0.0773, "top_left_x": 0.74, "top_left_y": 0.4602}}, {"word": "8141", "bounding_box": {"width": 0.0342, "height": 0.0225, "top_left_x": 0.7069, "top_left_y": 0.2885}}], "image_width": 640, "image_height": 427}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [132, 297, 326, 375] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "Grandad"}
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fine-grained text recognition en
|
COCO-Text
|
{"image_width": 640, "image_height": 428, "bbox": [132, 297, 326, 375], "raw_data": {"coco_file_name": "COCO_train2014_000000344196.jpg", "image_id": "344196", "caption": ["A birthday celebration for a grandfather featuring two cakes and two bears with a red heart.", "Picture of two teddy bears and two decorated rocks", "Some stuffed bears sit next to stones in the leaves. ", "a bear statue and painted rocks in a garden", "If picture of two teddy bears are in the grass."], "ocr_tokens": ["Grandad", "R", "m"], "ocr_info": [{"word": "Grandad", "bounding_box": {"width": 0.3027, "height": 0.1804, "top_left_x": 0.2072, "top_left_y": 0.6958}}, {"word": "R", "bounding_box": {"width": 0.0527, "height": 0.0572, "top_left_x": 0.6156, "top_left_y": 0.7086}}, {"word": "m", "bounding_box": {"width": 0.0645, "height": 0.079, "top_left_x": 0.7578, "top_left_y": 0.7348}}], "image_width": 640, "image_height": 428}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [92, 215, 124, 224] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "Microsoft"}
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fine-grained text recognition en
|
COCO-Text
|
{"image_width": 500, "image_height": 375, "bbox": [92, 215, 124, 224], "raw_data": {"coco_file_name": "COCO_train2014_000000034223.jpg", "image_id": "34223", "caption": ["A group of men standing next to each other near two dog toys.", "Four men playing with remote controlled dog toys.", "Four men are watching robotic puppies play soccer", "Several men stand around watching robotic dogs play.", "Microsoft technicians are watching robotic dogs move around on astroturf."], "ocr_tokens": ["Microsoft", "STUDIO"], "ocr_info": [{"word": "Microsoft", "bounding_box": {"width": 0.064, "height": 0.0245, "top_left_x": 0.1858, "top_left_y": 0.5739}}, {"word": "STUDIO", "bounding_box": {"width": 0.0566, "height": 0.0197, "top_left_x": 0.325, "top_left_y": 0.5725}}], "image_width": 500, "image_height": 375}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [195, 16, 225, 28] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "OW"}
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fine-grained text recognition en
|
COCO-Text
|
{"image_width": 640, "image_height": 427, "bbox": [195, 16, 225, 28], "raw_data": {"coco_file_name": "COCO_train2014_000000280554.jpg", "image_id": "280554", "caption": ["A person sitting on the sidewalk holding an umbrella.", "a person with an umbrella is sitting outside", "An umbrella obscures a person sitting outside a store. ", "A man sits in a chair behind an umbrella on a street\n", "A person sitting on a chair on the sidewalk with an umbrella in front of them."], "ocr_tokens": ["OW"], "ocr_info": [{"word": "OW", "bounding_box": {"width": 0.0469, "height": 0.0281, "top_left_x": 0.3047, "top_left_y": 0.0375}}], "image_width": 640, "image_height": 427}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [478, 140, 518, 161] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
|
{"answer": "Wreath"}
|
fine-grained text recognition en
|
COCO-Text
|
{"image_width": 640, "image_height": 480, "bbox": [478, 140, 518, 161], "raw_data": {"coco_file_name": "COCO_train2014_000000436014.jpg", "image_id": "436014", "caption": ["A man using a laptop with cats sitting next to him on the table.", "Cats sit on a desk while a young man uses a laptop.", "A man on a laptop while two cats sit with him.", "A man uses his laptop while cats sit around his table.", "A man works on a computer white cats sit on the table."], "ocr_tokens": ["Wreath"], "ocr_info": [{"word": "Wreath", "bounding_box": {"width": 0.0622, "height": 0.045, "top_left_x": 0.7484, "top_left_y": 0.2919}}], "image_width": 640, "image_height": 480}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [350, 343, 487, 364] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
|
{"answer": "STORMBERG"}
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fine-grained text recognition en
|
COCO-Text
|
{"image_width": 500, "image_height": 375, "bbox": [350, 343, 487, 364], "raw_data": {"coco_file_name": "COCO_train2014_000000099847.jpg", "image_id": "99847", "caption": ["A woman in a white jacket standing on slope with skis.", "A woman on cross country skis in the mountains.", "The woman is skiing down the snow covered mountainside. ", "an image of a woman on a ski slope", "A lady looking into the sun standing on a hill wearing skis."], "ocr_tokens": ["STORMBERG"], "ocr_info": [{"word": "STORMBERG", "bounding_box": {"width": 0.2736, "height": 0.0571, "top_left_x": 0.7012, "top_left_y": 0.9157}}], "image_width": 500, "image_height": 375}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [25, 167, 34, 181] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "3"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 427, "bbox": [25, 167, 34, 181], "raw_data": {"coco_file_name": "COCO_train2014_000000063874.jpg", "image_id": "63874", "caption": ["A modern train coming into a station platform.", "A passenger train that is traveling down some tracks.", "A train parked at a train station next to a loading platform.", "A train sits at a platform waiting for passengers to board.", "A train stopped at a train station where people are waiting. "], "ocr_tokens": ["3", "renfe", "7", "Vanilla", "Wild"], "ocr_info": [{"word": "3", "bounding_box": {"width": 0.0141, "height": 0.0314, "top_left_x": 0.0398, "top_left_y": 0.3925}}, {"word": "renfe", "bounding_box": {"width": 0.0809, "height": 0.0511, "top_left_x": 0.213, "top_left_y": 0.5963}}, {"word": "7", "bounding_box": {"width": 0.0131, "height": 0.0316, "top_left_x": 0.8898, "top_left_y": 0.3653}}, {"word": "Vanilla", "bounding_box": {"width": 0.0931, "height": 0.048, "top_left_x": 0.1098, "top_left_y": 0.9215}}, {"word": "Wild", "bounding_box": {"width": 0.0611, "height": 0.045, "top_left_x": 0.0469, "top_left_y": 0.9246}}], "image_width": 640, "image_height": 427}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [186, 257, 249, 348] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "TEO"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 452, "image_height": 640, "bbox": [186, 257, 249, 348], "raw_data": {"coco_file_name": "COCO_train2014_000000506550.jpg", "image_id": "506550", "caption": ["A baseball player holding a catchers mitt while standing on a field.", "A young man playing baseball prepares to pitch the ball.", "A baseball player gets ready to pitch the ball.", "there is a male baseball player preparing to throw the ball", "The man is preparing to pitch the ball."], "ocr_tokens": ["TEO", "NS", "T", "William", "Frankhouser", "C", "R"], "ocr_info": [{"word": "TEO", "bounding_box": {"width": 0.1387, "height": 0.1431, "top_left_x": 0.4126, "top_left_y": 0.402}}, {"word": "NS", "bounding_box": {"width": 0.1257, "height": 0.1217, "top_left_x": 0.5496, "top_left_y": 0.4037}}, {"word": "T", "bounding_box": {"width": 0.0788, "height": 0.0481, "top_left_x": 0.5772, "top_left_y": 0.0316}}, {"word": "William", "bounding_box": {"width": 0.1035, "height": 0.0242, "top_left_x": 0.6321, "top_left_y": 0.7488}}, {"word": "Frankhouser", "bounding_box": {"width": 0.1679, "height": 0.0222, "top_left_x": 0.7431, "top_left_y": 0.7472}}, {"word": "C", "bounding_box": {"width": 0.0303, "height": 0.0331, "top_left_x": 0.5827, "top_left_y": 0.7614}}, {"word": "R", "bounding_box": {"width": 0.0381, "height": 0.0167, "top_left_x": 0.4947, "top_left_y": 0.7753}}], "image_width": 452, "image_height": 640}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [186, 191, 255, 221] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "CANUCK"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 419, "image_height": 640, "bbox": [186, 191, 255, 221], "raw_data": {"coco_file_name": "COCO_train2014_000000114937.jpg", "image_id": "114937", "caption": ["A woman on a skateboard rolling down a ramp", "an image of a woman that is going down a ramp on her skateboard", "A person in a white helmet at the top of a ramp on a skateboard.", "A person on a skateboard at the top of a ramp.", "A woman who is on a skateboard and holding onto two poles."], "ocr_tokens": ["CANUCK"], "ocr_info": [{"word": "CANUCK", "bounding_box": {"width": 0.1654, "height": 0.0466, "top_left_x": 0.4446, "top_left_y": 0.2992}}], "image_width": 419, "image_height": 640}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [205, 172, 246, 188] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "NASTRO"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 427, "bbox": [205, 172, 246, 188], "raw_data": {"coco_file_name": "COCO_train2014_000000022102.jpg", "image_id": "22102", "caption": ["People at a table with pizza and beer.", "A couple of pizzas on a table sitting next to glass bottles.", "two barely cheesy pizzas sitting on a table ", "A couple of people and some pizzas on a table.", "A man sitting at a table with two pizzas."], "ocr_tokens": ["NASTRO", "AZZURRO", "RO"], "ocr_info": [{"word": "NASTRO", "bounding_box": {"width": 0.0641, "height": 0.0389, "top_left_x": 0.3217, "top_left_y": 0.4035}}, {"word": "AZZURRO", "bounding_box": {"width": 0.063, "height": 0.033, "top_left_x": 0.3237, "top_left_y": 0.4274}}, {"word": "RO", "bounding_box": {"width": 0.032, "height": 0.0255, "top_left_x": 0.2067, "top_left_y": 0.4063}}], "image_width": 640, "image_height": 427}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [151, 396, 250, 420] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "GRAPE"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 480, "image_height": 640, "bbox": [151, 396, 250, 420], "raw_data": {"coco_file_name": "COCO_train2014_000000452279.jpg", "image_id": "452279", "caption": ["Two people sitting on a green bench that overlooks a park and the city.", "Two people are sitting outside on a bench", "Two women sitting on a bench together .", "Two women sitting on a park bench on a hill ", "Two women are having lunch and talking on a bench."], "ocr_tokens": ["GRAPE"], "ocr_info": [{"word": "GRAPE", "bounding_box": {"width": 0.2046, "height": 0.0377, "top_left_x": 0.3163, "top_left_y": 0.6195}}], "image_width": 480, "image_height": 640}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [0, 216, 174, 282] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "edtouch"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 612, "image_height": 612, "bbox": [0, 216, 174, 282], "raw_data": {"coco_file_name": "COCO_train2014_000000416648.jpg", "image_id": "416648", "caption": ["A man sitting at a table with boxes of donuts.", "A man in black sweater sitting at a table with pastries.", "A older man enjoying a variety of pastries and breads. ", "a man cupping his face in his hand holding a book sitting in front of some doughnuts ", "a person sitting at a table with boxes of doughnuts"], "ocr_tokens": ["edtouch", "media"], "ocr_info": [{"word": "edtouch", "bounding_box": {"width": 0.2851, "height": 0.1077, "top_left_x": 0.0002, "top_left_y": 0.3531}}, {"word": "media", "bounding_box": {"width": 0.1737, "height": 0.0918, "top_left_x": 0.1101, "top_left_y": 0.4131}}], "image_width": 612, "image_height": 612}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [88, 24, 108, 32] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "Track"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 367, "bbox": [88, 24, 108, 32], "raw_data": {"coco_file_name": "COCO_train2014_000000336770.jpg", "image_id": "336770", "caption": ["Commuter train coming into station platform on sunny day.", "a blue train is coming down some tracks", "A train coming around a curve by a sidewalk ", "The passenger train drives around the curve of the tracks.", "The train is going down the railroad tracks."], "ocr_tokens": ["Track", "Location", "1", "1"], "ocr_info": [{"word": "Track", "bounding_box": {"width": 0.032, "height": 0.021, "top_left_x": 0.138, "top_left_y": 0.0676}}, {"word": "Location", "bounding_box": {"width": 0.045, "height": 0.0191, "top_left_x": 0.135, "top_left_y": 0.0937}}, {"word": "1", "bounding_box": {"width": 0.015, "height": 0.0471, "top_left_x": 0.1509, "top_left_y": 0.1199}}, {"word": "1", "bounding_box": {"width": 0.01, "height": 0.0174, "top_left_x": 0.1709, "top_left_y": 0.0692}}], "image_width": 640, "image_height": 367}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [96, 273, 141, 282] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "Culslnard"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 420, "bbox": [96, 273, 141, 282], "raw_data": {"coco_file_name": "COCO_train2014_000000431492.jpg", "image_id": "431492", "caption": ["Multiple photographs of a blender containing a pink liquid.", "multiple photos of a blender making a smoothie", "a collage of three pictures of a blender with a red fruit liquid in it.", "Three pictures of blenders blending up fruit into a fruit smoothie.", "The fruit is in the blender to make a smoothie."], "ocr_tokens": ["Culslnard", "SmartPower", "culslnart"], "ocr_info": [{"word": "Culslnard", "bounding_box": {"width": 0.0695, "height": 0.0214, "top_left_x": 0.1509, "top_left_y": 0.6505}}, {"word": "SmartPower", "bounding_box": {"width": 0.0627, "height": 0.0124, "top_left_x": 0.1428, "top_left_y": 0.6733}}, {"word": "culslnart", "bounding_box": {"width": 0.0622, "height": 0.0169, "top_left_x": 0.8602, "top_left_y": 0.614}}], "image_width": 640, "image_height": 420}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [219, 321, 260, 344] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "GOONIES"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 427, "image_height": 640, "bbox": [219, 321, 260, 344], "raw_data": {"coco_file_name": "COCO_train2014_000000421005.jpg", "image_id": "421005", "caption": ["Man throwing frisbee on the beach with houses in background", "A man reaching for a yellow frisbee on the beach.", "Two people on a beach throw a frisbee.", "A man tossing a frisbee to a young girl", "Two people play Frisbee on a sandy beach."], "ocr_tokens": ["GOONIES"], "ocr_info": [{"word": "GOONIES", "bounding_box": {"width": 0.0965, "height": 0.035, "top_left_x": 0.5145, "top_left_y": 0.5027}}], "image_width": 427, "image_height": 640}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [293, 50, 371, 79] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "HORSES"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 480, "bbox": [293, 50, 371, 79], "raw_data": {"coco_file_name": "COCO_train2014_000000424193.jpg", "image_id": "424193", "caption": ["Two horses are on the grass by a horse trailer.", "Horses stand around a horse trailer grazing and drinking.", "Two horses are standing behind a horse trailer. ", "A picture of two horses that are eating something.", "Two horses are standing in a grass field."], "ocr_tokens": ["HORSES", "KEZ", "2958"], "ocr_info": [{"word": "HORSES", "bounding_box": {"width": 0.123, "height": 0.06, "top_left_x": 0.458, "top_left_y": 0.1054}}, {"word": "KEZ", "bounding_box": {"width": 0.0208, "height": 0.0223, "top_left_x": 0.5681, "top_left_y": 0.5048}}, {"word": "2958", "bounding_box": {"width": 0.0255, "height": 0.0185, "top_left_x": 0.5895, "top_left_y": 0.5008}}], "image_width": 640, "image_height": 480}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [565, 44, 644, 116] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "Morg"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 448, "bbox": [565, 44, 644, 116], "raw_data": {"coco_file_name": "COCO_train2014_000000100865.jpg", "image_id": "100865", "caption": ["A couple of men standing on top of a blue tennis court.", "Two men playing a game of tennis on a court.", "a man is standing out on a tennis court", "Two men playing tennis on a blue court. ", "Two tennis players are playing tennis as onlookers watch them play. "], "ocr_tokens": ["Morg", "J.P.", "SPEED", "usopen.org", "MPI", "M"], "ocr_info": [{"word": "Morg", "bounding_box": {"width": 0.1247, "height": 0.1603, "top_left_x": 0.883, "top_left_y": 0.0998}}, {"word": "J.P.", "bounding_box": {"width": 0.0767, "height": 0.0953, "top_left_x": 0.8255, "top_left_y": 0.0609}}, {"word": "SPEED", "bounding_box": {"width": 0.0316, "height": 0.0321, "top_left_x": 0.5963, "top_left_y": 0.0429}}, {"word": "usopen.org", "bounding_box": {"width": 0.065, "height": 0.067, "top_left_x": 0.5892, "top_left_y": 0.0645}}, {"word": "MPI", "bounding_box": {"width": 0.0519, "height": 0.0654, "top_left_x": 0.6258, "top_left_y": 0.0502}}, {"word": "M", "bounding_box": {"width": 0.0655, "height": 0.0449, "top_left_x": 0.632, "top_left_y": -0.0025}}], "image_width": 640, "image_height": 448}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [27, 141, 304, 261] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "STOP"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 375, "image_height": 500, "bbox": [27, 141, 304, 261], "raw_data": {"coco_file_name": "COCO_train2014_000000184155.jpg", "image_id": "184155", "caption": ["A red stop sign covered in lots of graffiti.", "A stop sign that has some graffiti on it.", "A close up of a stop sign with graffiti on it.", "A huge stop sign with paintings on it. ", "a red and white stop sign and some bushes and trees"], "ocr_tokens": ["STOP", "ALL", "WAY"], "ocr_info": [{"word": "STOP", "bounding_box": {"width": 0.74, "height": 0.24, "top_left_x": 0.0733, "top_left_y": 0.2824}}, {"word": "ALL", "bounding_box": {"width": 0.0899, "height": 0.0588, "top_left_x": 0.3568, "top_left_y": 0.7312}}, {"word": "WAY", "bounding_box": {"width": 0.0765, "height": 0.0612, "top_left_x": 0.46, "top_left_y": 0.7262}}], "image_width": 375, "image_height": 500}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [104, 274, 145, 290] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "2012"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 427, "bbox": [104, 274, 145, 290], "raw_data": {"coco_file_name": "COCO_train2014_000000095622.jpg", "image_id": "95622", "caption": ["Two men standing near a small plane and looking at it.", "a airplane that is parked in some grass", "A couple of men standing on the outside of a small blue and white plane.", "A small airplane with two men standing beside it ", "Two men are inspecting a small single engine plane."], "ocr_tokens": ["2012", "Dave", "[email protected]"], "ocr_info": [{"word": "2012", "bounding_box": {"width": 0.0638, "height": 0.0375, "top_left_x": 0.1633, "top_left_y": 0.6436}}, {"word": "Dave", "bounding_box": {"width": 0.0803, "height": 0.0443, "top_left_x": 0.0905, "top_left_y": 0.6827}}, {"word": "[email protected]", "bounding_box": {"width": 0.1823, "height": 0.0349, "top_left_x": 0.0892, "top_left_y": 0.7398}}], "image_width": 640, "image_height": 427}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [312, 171, 371, 439] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "SREDIENHC"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 427, "image_height": 640, "bbox": [312, 171, 371, 439], "raw_data": {"coco_file_name": "COCO_train2014_000000497440.jpg", "image_id": "497440", "caption": ["This hot dog is loaded with different peppers", "A hotdog on a plate with peppers on it", "A hot dog on a bun in a wrapper.", "a hot dog with red peppers and banana peppers", "A hot dog with pepper sitting in a take out container."], "ocr_tokens": ["SREDIENHC"], "ocr_info": [{"word": "SREDIENHC", "bounding_box": {"width": 0.1398, "height": 0.42, "top_left_x": 0.7307, "top_left_y": 0.2672}}], "image_width": 427, "image_height": 640}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [304, 410, 317, 426] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "FST"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 612, "image_height": 612, "bbox": [304, 410, 317, 426], "raw_data": {"coco_file_name": "COCO_train2014_000000504165.jpg", "image_id": "504165", "caption": ["A little boy that is inside of a refrigerator.", "A toddler holds cans he's removed from a fridge", "A young blond hair boy holding a can of juice.", "A little boy holding a can in his hands in front of an open refrigerator.", "A little boy is getting into a refrigerator."], "ocr_tokens": ["FST", "MILK", "FREE", "Family", "DARIGOLD"], "ocr_info": [{"word": "FST", "bounding_box": {"width": 0.0208, "height": 0.0263, "top_left_x": 0.4975, "top_left_y": 0.6711}}, {"word": "MILK", "bounding_box": {"width": 0.0337, "height": 0.0302, "top_left_x": 0.4987, "top_left_y": 0.6835}}, {"word": "FREE", "bounding_box": {"width": 0.0296, "height": 0.0281, "top_left_x": 0.5193, "top_left_y": 0.6588}}, {"word": "Family", "bounding_box": {"width": 0.0832, "height": 0.0645, "top_left_x": 0.8683, "top_left_y": 0.6864}}, {"word": "DARIGOLD", "bounding_box": {"width": 0.0794, "height": 0.0556, "top_left_x": 0.4817, "top_left_y": 0.6074}}], "image_width": 612, "image_height": 612}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [487, 143, 523, 160] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "STOP"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 336, "bbox": [487, 143, 523, 160], "raw_data": {"coco_file_name": "COCO_train2014_000000446618.jpg", "image_id": "446618", "caption": ["A stop sign is shown next to some train tracks.", "An image looking down train tracks outside with a stop sign next to them.", "A train track with a stop sign next to it.", "A set of railroad tracks with a stop sign near it", "A stop sign is placed next to a railroad in an overgrown area."], "ocr_tokens": ["STOP", "down"], "ocr_info": [{"word": "STOP", "bounding_box": {"width": 0.0558, "height": 0.0497, "top_left_x": 0.7622, "top_left_y": 0.4265}}, {"word": "down", "bounding_box": {"width": 0.0253, "height": 0.0164, "top_left_x": 0.7759, "top_left_y": 0.5658}}], "image_width": 640, "image_height": 336}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [295, 312, 321, 328] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "003"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 478, "bbox": [295, 312, 321, 328], "raw_data": {"coco_file_name": "COCO_train2014_000000269088.jpg", "image_id": "269088", "caption": ["A large blue and white passenger jet sitting on an airport runway.", "A parked airplane with wires connected to it sitting on the tarmac.", "A very large blue commercial air plane near a truck.", "An airplane sits on the runway as it appears to be refueling.", "An airplane is sitting alongside maintenance trucks and being refueled."], "ocr_tokens": ["003", "BOEING", "ILD"], "ocr_info": [{"word": "003", "bounding_box": {"width": 0.0405, "height": 0.0345, "top_left_x": 0.4616, "top_left_y": 0.6533}}, {"word": "BOEING", "bounding_box": {"width": 0.1694, "height": 0.1, "top_left_x": 0.8008, "top_left_y": 0.4165}}, {"word": "ILD", "bounding_box": {"width": 0.0172, "height": 0.013, "top_left_x": 0.1997, "top_left_y": 0.6132}}], "image_width": 640, "image_height": 478}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [326, 243, 403, 258] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "WESTEABLOKKER"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 480, "bbox": [326, 243, 403, 258], "raw_data": {"coco_file_name": "COCO_train2014_000000450526.jpg", "image_id": "450526", "caption": ["The Otten Bakery truck is going down the street.", "A white square truck driving down the street", "a a food truck parked in an alley near buildings ", "A white truck parked on a brick laid street", "a big truck drives down a brick road "], "ocr_tokens": ["WESTEABLOKKER", "KOEPOORTSWEG", "HOORN", "BLOKKER", "HOORN", "www.bakkerij.offen.nl", "Banketspecialist", "en", "Brood", "De", "Otten ", "ZWAAG", "81", "KORENBLOEM", "DE", "75'", "HUESMOLN", "DE", "113", "67-69", "www.bakkerij-otten.nl", "OTTEN", "ELPLAZ"], "ocr_info": [{"word": "WESTEABLOKKER", "bounding_box": {"width": 0.12, "height": 0.0308, "top_left_x": 0.51, "top_left_y": 0.5079}}, {"word": "KOEPOORTSWEG", "bounding_box": {"width": 0.118, "height": 0.0281, "top_left_x": 0.502, "top_left_y": 0.444}}, {"word": "HOORN", "bounding_box": {"width": 0.0519, "height": 0.0227, "top_left_x": 0.5591, "top_left_y": 0.4733}}, {"word": "BLOKKER", "bounding_box": {"width": 0.0641, "height": 0.0281, "top_left_x": 0.5509, "top_left_y": 0.5373}}, {"word": "HOORN", "bounding_box": {"width": 0.053, "height": 0.0308, "top_left_x": 0.555, "top_left_y": 0.6079}}, {"word": "www.bakkerij.offen.nl", "bounding_box": {"width": 0.1158, "height": 0.0462, "top_left_x": 0.7805, "top_left_y": 0.6067}}, {"word": "Banketspecialist", "bounding_box": {"width": 0.1036, "height": 0.04, "top_left_x": 0.7937, "top_left_y": 0.3875}}, {"word": "en", "bounding_box": {"width": 0.0163, "height": 0.0208, "top_left_x": 0.8406, "top_left_y": 0.369}}, {"word": "Brood", "bounding_box": {"width": 0.0394, "height": 0.0346, "top_left_x": 0.8383, "top_left_y": 0.3273}}, {"word": "De", "bounding_box": {"width": 0.022, "height": 0.031, "top_left_x": 0.8158, "top_left_y": 0.3256}}, {"word": "Otten ", "bounding_box": {"width": 0.0717, "height": 0.0465, "top_left_x": 0.7516, "top_left_y": 0.5285}}, {"word": "ZWAAG", "bounding_box": {"width": 0.0469, "height": 0.034, "top_left_x": 0.5586, "top_left_y": 0.6715}}, {"word": "81", "bounding_box": {"width": 0.0128, "height": 0.0248, "top_left_x": 0.6273, "top_left_y": 0.6367}}, {"word": "KORENBLOEM", "bounding_box": {"width": 0.0886, "height": 0.0385, "top_left_x": 0.5383, "top_left_y": 0.6421}}, {"word": "DE", "bounding_box": {"width": 0.0178, "height": 0.0208, "top_left_x": 0.5175, "top_left_y": 0.6598}}, {"word": "75'", "bounding_box": {"width": 0.0214, "height": 0.0262, "top_left_x": 0.6273, "top_left_y": 0.5756}}, {"word": "HUESMOLN", "bounding_box": {"width": 0.0805, "height": 0.0315, "top_left_x": 0.5447, "top_left_y": 0.5781}}, {"word": "DE", "bounding_box": {"width": 0.0186, "height": 0.0246, "top_left_x": 0.5203, "top_left_y": 0.5904}}, {"word": "113", "bounding_box": {"width": 0.0144, "height": 0.0223, "top_left_x": 0.6344, "top_left_y": 0.5071}}, {"word": "67-69", "bounding_box": {"width": 0.0336, "height": 0.0248, "top_left_x": 0.6216, "top_left_y": 0.4437}}, {"word": "www.bakkerij-otten.nl", "bounding_box": {"width": 0.198, "height": 0.0833, "top_left_x": 0.1786, "top_left_y": 0.6367}}, {"word": "OTTEN", "bounding_box": {"width": 0.033, "height": 0.0262, "top_left_x": 0.2573, "top_left_y": 0.6013}}, {"word": "ELPLAZ", "bounding_box": {"width": 0.0948, "height": 0.0385, "top_left_x": 0.0602, "top_left_y": 0.2467}}], "image_width": 640, "image_height": 480}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [275, 9, 387, 33] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "FINALISTI"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 410, "bbox": [275, 9, 387, 33], "raw_data": {"coco_file_name": "COCO_train2014_000000427688.jpg", "image_id": "427688", "caption": ["The two men are standing on a tennis court. ", "Two scruffy middle-aged men pose for the camera on a green clay tennis court. ", "Two men standing on a tennis court with their racquets.", "THERE ARE TWO MEN THAT ARE STANDING ON THE TENNIS TRACK ", "The new friends are enjoying an afternoon of tennis."], "ocr_tokens": ["FINALISTI", "B2"], "ocr_info": [{"word": "FINALISTI", "bounding_box": {"width": 0.175, "height": 0.0576, "top_left_x": 0.4306, "top_left_y": 0.0237}}, {"word": "B2", "bounding_box": {"width": 0.0669, "height": 0.0715, "top_left_x": 0.6355, "top_left_y": 0.0249}}], "image_width": 640, "image_height": 410}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [167, 611, 187, 621] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "R8S"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 480, "image_height": 640, "bbox": [167, 611, 187, 621], "raw_data": {"coco_file_name": "COCO_train2014_000000157462.jpg", "image_id": "157462", "caption": ["a couple of trains on a railroad track.", "Three trains on a train track: a green one, a blue one and a silver one.", "A picture of a railroad with a couple of trains on them.", "Several trains on different tracks near a wooded area.", "Several trains are moving along a train track."], "ocr_tokens": ["R8S"], "ocr_info": [{"word": "R8S", "bounding_box": {"width": 0.0404, "height": 0.0166, "top_left_x": 0.3492, "top_left_y": 0.955}}], "image_width": 480, "image_height": 640}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [200, 328, 308, 364] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "GNU"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 424, "bbox": [200, 328, 308, 364], "raw_data": {"coco_file_name": "COCO_train2014_000000056023.jpg", "image_id": "56023", "caption": [" A man putting on gloves standing with people going skiing and snowboarding.", "A group of people on skis and snowboards outside.", "Three people standing by cabins on a ski slope with skis.", "there are many people preparing to go snow boarding ", "The snowboarders and snow skiers are enjoying the weather."], "ocr_tokens": ["GNU"], "ocr_info": [{"word": "GNU", "bounding_box": {"width": 0.1703, "height": 0.0849, "top_left_x": 0.3125, "top_left_y": 0.7743}}], "image_width": 640, "image_height": 424}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [247, 162, 281, 194] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "STOP"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 453, "bbox": [247, 162, 281, 194], "raw_data": {"coco_file_name": "COCO_train2014_000000204380.jpg", "image_id": "204380", "caption": ["A stop sign that is attached to a pole.", "a stop sign at an intersection in front of a row of a brown buildings", "A street sign is shown at an intersection.", "A stop and street sign on a pole near a car.", "A stop sign is posted on an intersection light post below two street names."], "ocr_tokens": ["STOP", "HANOVER", "50"], "ocr_info": [{"word": "STOP", "bounding_box": {"width": 0.0536, "height": 0.0689, "top_left_x": 0.387, "top_left_y": 0.3596}}, {"word": "HANOVER", "bounding_box": {"width": 0.0713, "height": 0.0342, "top_left_x": 0.2723, "top_left_y": 0.2031}}, {"word": "50", "bounding_box": {"width": 0.0158, "height": 0.0172, "top_left_x": 0.3458, "top_left_y": 0.2115}}], "image_width": 640, "image_height": 453}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [88, 164, 231, 361] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "Bryson"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 480, "bbox": [88, 164, 231, 361], "raw_data": {"coco_file_name": "COCO_train2014_000000251835.jpg", "image_id": "251835", "caption": ["A student's copy of Shakespeare's \"Bill Bryson\" sits on a table outside.", "The red and white book is on the wooden surface next to the orange sack.", "a shakespeare book sits on a wooden bench", "A book sitting on top of a wooden table.", "A book IS LYING ON THE BENCH WITH A BOOK BAG"], "ocr_tokens": ["Bryson", "Shakespeare", "Bryson", "Bill", "Shakespeare", "gently", "SUNDAY", "TIMES", "Brilliantly", "funny", "and", "SUNDAY", "ON", "MAIL", "'A delight.", "A gem of a book"], "ocr_info": [{"word": "Bryson", "bounding_box": {"width": 0.2241, "height": 0.411, "top_left_x": 0.138, "top_left_y": 0.3425}}, {"word": "Shakespeare", "bounding_box": {"width": 0.1216, "height": 0.294, "top_left_x": 0.2842, "top_left_y": 0.4204}}, {"word": "Bryson", "bounding_box": {"width": 0.1025, "height": 0.0658, "top_left_x": 0.18, "top_left_y": 0.7515}}, {"word": "Bill", "bounding_box": {"width": 0.0522, "height": 0.051, "top_left_x": 0.1209, "top_left_y": 0.7317}}, {"word": "Shakespeare", "bounding_box": {"width": 0.1922, "height": 0.0862, "top_left_x": 0.4017, "top_left_y": 0.8206}}, {"word": "gently", "bounding_box": {"width": 0.0195, "height": 0.0479, "top_left_x": 0.4944, "top_left_y": 0.7094}}, {"word": "SUNDAY", "bounding_box": {"width": 0.022, "height": 0.0765, "top_left_x": 0.5111, "top_left_y": 0.6962}}, {"word": "TIMES", "bounding_box": {"width": 0.022, "height": 0.0617, "top_left_x": 0.5227, "top_left_y": 0.6354}}, {"word": "Brilliantly", "bounding_box": {"width": 0.0277, "height": 0.0756, "top_left_x": 0.4706, "top_left_y": 0.6848}}, {"word": "funny", "bounding_box": {"width": 0.0202, "height": 0.0431, "top_left_x": 0.4845, "top_left_y": 0.6423}}, {"word": "and", "bounding_box": {"width": 0.0133, "height": 0.0285, "top_left_x": 0.4955, "top_left_y": 0.6146}}, {"word": "SUNDAY", "bounding_box": {"width": 0.0255, "height": 0.0765, "top_left_x": 0.4434, "top_left_y": 0.5983}}, {"word": "ON", "bounding_box": {"width": 0.0156, "height": 0.0277, "top_left_x": 0.4377, "top_left_y": 0.6763}}, {"word": "MAIL", "bounding_box": {"width": 0.0231, "height": 0.0469, "top_left_x": 0.4272, "top_left_y": 0.7087}}, {"word": "'A delight.", "bounding_box": {"width": 0.0266, "height": 0.0702, "top_left_x": 0.4006, "top_left_y": 0.7056}}, {"word": "A gem of a book", "bounding_box": {"width": 0.0347, "height": 0.1125, "top_left_x": 0.422, "top_left_y": 0.5706}}], "image_width": 640, "image_height": 480}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [80, 261, 114, 279] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "ONE"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 453, "image_height": 640, "bbox": [80, 261, 114, 279], "raw_data": {"coco_file_name": "COCO_train2014_000000366405.jpg", "image_id": "366405", "caption": ["A green fire hydrant sits on a brick sidewalk with an old red church in the background. ", "a red church with a steeple and clock and also some signs and a traffic light", "We are looking up the street at an old church.", "A red church in between two plain buildings. ", "Green fire hydrant, red church in a city "], "ocr_tokens": ["ONE", "WAY"], "ocr_info": [{"word": "ONE", "bounding_box": {"width": 0.0748, "height": 0.0286, "top_left_x": 0.1786, "top_left_y": 0.4088}}, {"word": "WAY", "bounding_box": {"width": 0.0773, "height": 0.0252, "top_left_x": 0.2638, "top_left_y": 0.4144}}], "image_width": 453, "image_height": 640}}
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[{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": [{"type": "text", "text": "Recognize the text within the [-1, 337, 79, 359] of the image. Output its bbox coordinates using JSON format."}, {"type": "image", "image": "file:///<PATH_TO_IMAGE>"}]}]
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{"answer": "ADRIENNE"}
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fine-grained text recognition en
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COCO-Text
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{"image_width": 640, "image_height": 424, "bbox": [-1, 337, 79, 359], "raw_data": {"coco_file_name": "COCO_train2014_000000286564.jpg", "image_id": "286564", "caption": ["A plane at a museum with people walking around.", "People stand in a museum and look at a large airplane.", "A group of people walking around a hangar at an air museum.", "A jet inside of a museum show room", "Museum with people looking at airplanes on floor and ceiling."], "ocr_tokens": ["ADRIENNE", "MARS", "BLACKBIRD", "SPONSORED", "BY"], "ocr_info": [{"word": "ADRIENNE", "bounding_box": {"width": 0.1253, "height": 0.0519, "top_left_x": -0.0017, "top_left_y": 0.7969}}, {"word": "MARS", "bounding_box": {"width": 0.0598, "height": 0.0335, "top_left_x": 0.1266, "top_left_y": 0.784}}, {"word": "BLACKBIRD", "bounding_box": {"width": 0.0639, "height": 0.025, "top_left_x": 0.0114, "top_left_y": 0.7741}}, {"word": "SPONSORED", "bounding_box": {"width": 0.0625, "height": 0.0292, "top_left_x": 0.0753, "top_left_y": 0.7606}}, {"word": "BY", "bounding_box": {"width": 0.0166, "height": 0.0189, "top_left_x": 0.1397, "top_left_y": 0.7573}}], "image_width": 640, "image_height": 424}}
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