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Upload dataset files (batch 44/552)

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  1. .gitattributes +283 -0
  2. train/FloorPlan29/12/0_depth_npy.npy +3 -0
  3. train/FloorPlan29/12/0_semantic_sensor_npy.npy +3 -0
  4. train/FloorPlan29/12/1.json +0 -0
  5. train/FloorPlan29/12/1_depth_npy.npy +3 -0
  6. train/FloorPlan29/12/depth_0.png +0 -0
  7. train/FloorPlan29/12/mask_questions.jsonl +9 -0
  8. train/FloorPlan29/12/rgb_0.png +3 -0
  9. train/FloorPlan29/12/rgb_0_mask_Cabinet|+01.34|+00.59|-01.11.png +3 -0
  10. train/FloorPlan29/12/rgb_0_mask_Cabinet|+01.99|+00.59|-01.11.png +3 -0
  11. train/FloorPlan29/12/rgb_0_mask_Pan|+00.97|+01.04|-01.66.png +3 -0
  12. train/FloorPlan29/12/rgb_1.png +3 -0
  13. train/FloorPlan29/12/rgb_1_mask_Cabinet|+01.32|+01.96|-01.31.png +3 -0
  14. train/FloorPlan29/12/rgb_1_mask_Cabinet|+01.34|+00.59|-01.11.png +3 -0
  15. train/FloorPlan29/12/semantic_0.png +0 -0
  16. train/FloorPlan3/13/0.json +1695 -0
  17. train/FloorPlan3/13/0_depth_npy.npy +3 -0
  18. train/FloorPlan3/13/0_semantic_sensor_npy.npy +3 -0
  19. train/FloorPlan3/13/1.json +0 -0
  20. train/FloorPlan3/13/1_depth_npy.npy +3 -0
  21. train/FloorPlan3/13/1_semantic_sensor_npy.npy +3 -0
  22. train/FloorPlan3/13/depth_0.png +0 -0
  23. train/FloorPlan3/13/depth_1.png +0 -0
  24. train/FloorPlan3/13/mask_questions.jsonl +4 -0
  25. train/FloorPlan3/13/questions_distance.jsonl +2 -0
  26. train/FloorPlan3/13/rgb_0.png +3 -0
  27. train/FloorPlan3/13/rgb_0_mask_Bread|-01.51|+01.38|+00.66.png +3 -0
  28. train/FloorPlan3/13/rgb_0_mask_Cabinet|-01.46|+00.78|+00.47.png +3 -0
  29. train/FloorPlan3/13/rgb_1.png +3 -0
  30. train/FloorPlan3/13/rgb_1_mask_Bread|-01.51|+01.38|+00.66.png +3 -0
  31. train/FloorPlan3/13/rgb_1_mask_Cabinet|-01.46|+00.78|+00.47.png +3 -0
  32. train/FloorPlan3/13/semantic_0.png +0 -0
  33. train/FloorPlan3/13/semantic_1.png +0 -0
  34. train/FloorPlan3/14/0.json +0 -0
  35. train/FloorPlan3/14/0_depth_npy.npy +3 -0
  36. train/FloorPlan3/14/0_semantic_sensor_npy.npy +3 -0
  37. train/FloorPlan3/14/1.json +2134 -0
  38. train/FloorPlan3/14/1_depth_npy.npy +3 -0
  39. train/FloorPlan3/14/1_semantic_sensor_npy.npy +3 -0
  40. train/FloorPlan3/14/depth_0.png +0 -0
  41. train/FloorPlan3/14/depth_1.png +0 -0
  42. train/FloorPlan3/14/mask_questions.jsonl +6 -0
  43. train/FloorPlan3/14/questions_distance.jsonl +4 -0
  44. train/FloorPlan3/14/rgb_0.png +3 -0
  45. train/FloorPlan3/14/rgb_0_mask_Cabinet|+00.58|+00.78|-02.05.png +3 -0
  46. train/FloorPlan3/14/rgb_0_mask_CoffeeMachine|+01.13|+01.31|-01.43.png +3 -0
  47. train/FloorPlan3/14/rgb_0_mask_Microwave|+00.99|+01.31|-02.16.png +3 -0
  48. train/FloorPlan3/14/rgb_0_mask_Stool|+00.61|+00.22|-01.08.png +3 -0
  49. train/FloorPlan3/14/rgb_1.png +3 -0
  50. train/FloorPlan3/14/rgb_1_mask_Cabinet|+00.58|+00.78|-02.05.png +3 -0
.gitattributes CHANGED
@@ -11205,3 +11205,286 @@ train/FloorPlan29/12/1_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -te
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1
+ {"id": 2381, "folder_dir": "FloorPlan29/12", "pair_name": "0-1:Cabinet|+01.99|+00.59|-01.11", "query": "Please combine the information from the two images and answer the following question:\nWhat is the object being masked in the second image?\nNote: The masked region is indicated by the black rectangle outlined in red in the second image.\nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. Cup\nB. Cabinet\nC. CoffeeMachine\nD. Knife", "answer": "B", "object_name": "Cabinet", "image_1": "FloorPlan29/12/rgb_0.png", "image_2": "FloorPlan29/12/rgb_1.png", "mask_image": "FloorPlan29/12/rgb_1_mask_Cabinet|+01.99|+00.59|-01.11.png", "options": ["Cup", "Cabinet", "CoffeeMachine", "Knife"]}
2
+ {"id": 2382, "folder_dir": "FloorPlan29/12", "pair_name": "0-1:Cabinet|+01.32|+01.96|-01.31", "query": "Please combine the information from the two images and answer the following question:\nWhat is the object being masked in the second image?\nNote: The masked region is indicated by the black rectangle outlined in red in the second image.\nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. Cabinet\nB. Knife\nC. Plate\nD. Faucet", "answer": "A", "object_name": "Cabinet", "image_1": "FloorPlan29/12/rgb_0.png", "image_2": "FloorPlan29/12/rgb_1.png", "mask_image": "FloorPlan29/12/rgb_1_mask_Cabinet|+01.32|+01.96|-01.31.png", "options": ["Cabinet", "Knife", "Plate", "Faucet"]}
3
+ {"id": 2383, "folder_dir": "FloorPlan29/12", "pair_name": "0-1:Cabinet|+01.34|+00.59|-01.11", "query": "Please combine the information from the two images and answer the following question:\nWhat is the object being masked in the second image?\nNote: The masked region is indicated by the black rectangle outlined in red in the second image.\nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. Cabinet\nB. Spoon\nC. GarbageCan\nD. Knife", "answer": "A", "object_name": "Cabinet", "image_1": "FloorPlan29/12/rgb_0.png", "image_2": "FloorPlan29/12/rgb_1.png", "mask_image": "FloorPlan29/12/rgb_1_mask_Cabinet|+01.34|+00.59|-01.11.png", "options": ["Cabinet", "Spoon", "GarbageCan", "Knife"]}
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+ {"id": 2384, "folder_dir": "FloorPlan29/12", "pair_name": "0-1:Cabinet|+01.99|+01.40|-01.11", "query": "Please combine the information from the two images and answer the following question:\nWhat is the object being masked in the second image?\nNote: The masked region is indicated by the black rectangle outlined in red in the second image.\nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. GarbageCan\nB. Cup\nC. Cabinet\nD. Knife", "answer": "C", "object_name": "Cabinet", "image_1": "FloorPlan29/12/rgb_0.png", "image_2": "FloorPlan29/12/rgb_1.png", "mask_image": "FloorPlan29/12/rgb_1_mask_Cabinet|+01.99|+01.40|-01.11.png", "options": ["GarbageCan", "Cup", "Cabinet", "Knife"]}
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+ {"id": 2391, "folder_dir": "FloorPlan3/13", "pair_name": "0-1:Cabinet|-01.46|+00.78|+00.47", "query": "Please combine the information from the two images and answer the following question:\nWhat is the object being masked in the second image?\nNote: The masked region is indicated by the black rectangle outlined in red in the second image.\nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. Cabinet\nB. SideTable\nC. CounterTop\nD. ButterKnife", "answer": "A", "object_name": "Cabinet", "image_1": "FloorPlan3/13/rgb_0.png", "image_2": "FloorPlan3/13/rgb_1.png", "mask_image": "FloorPlan3/13/rgb_1_mask_Cabinet|-01.46|+00.78|+00.47.png", "options": ["Cabinet", "SideTable", "CounterTop", "ButterKnife"]}
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+ {"id": 2392, "folder_dir": "FloorPlan3/13", "pair_name": "0-1:Bread|-01.51|+01.38|+00.66", "query": "Please combine the information from the two images and answer the following question:\nWhat is the object being masked in the second image?\nNote: The masked region is indicated by the black rectangle outlined in red in the second image.\nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. Fridge\nB. Drawer\nC. Bread\nD. Cabinet", "answer": "C", "object_name": "Bread", "image_1": "FloorPlan3/13/rgb_0.png", "image_2": "FloorPlan3/13/rgb_1.png", "mask_image": "FloorPlan3/13/rgb_1_mask_Bread|-01.51|+01.38|+00.66.png", "options": ["Fridge", "Drawer", "Bread", "Cabinet"]}
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+ {"id": 2393, "folder_dir": "FloorPlan3/13", "pair_name": "1-0:Cabinet|-01.46|+00.78|+00.47", "query": "Please combine the information from the two images and answer the following question:\nWhat is the object being masked in the second image?\nNote: The masked region is indicated by the black rectangle outlined in red in the second image.\nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. CounterTop\nB. Apple\nC. Cabinet\nD. Sink", "answer": "C", "object_name": "Cabinet", "image_1": "FloorPlan3/13/rgb_1.png", "image_2": "FloorPlan3/13/rgb_0.png", "mask_image": "FloorPlan3/13/rgb_0_mask_Cabinet|-01.46|+00.78|+00.47.png", "options": ["CounterTop", "Apple", "Cabinet", "Sink"]}
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+ {"id": 2394, "folder_dir": "FloorPlan3/13", "pair_name": "1-0:Bread|-01.51|+01.38|+00.66", "query": "Please combine the information from the two images and answer the following question:\nWhat is the object being masked in the second image?\nNote: The masked region is indicated by the black rectangle outlined in red in the second image.\nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. Bread\nB. Window\nC. Spatula\nD. Cabinet", "answer": "A", "object_name": "Bread", "image_1": "FloorPlan3/13/rgb_1.png", "image_2": "FloorPlan3/13/rgb_0.png", "mask_image": "FloorPlan3/13/rgb_0_mask_Bread|-01.51|+01.38|+00.66.png", "options": ["Bread", "Window", "Spatula", "Cabinet"]}
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1
+ {"id": 2404, "folder_dir": "FloorPlan3/14", "pair_name": "0-1:Cabinet|+00.58|+00.78|-02.05", "query": "Please combine the information from the two images and answer the following question:\nWhat is the object being masked in the second image?\nNote: The masked region is indicated by the black rectangle outlined in red in the second image.\nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. StoveBurner\nB. PepperShaker\nC. Cabinet\nD. CounterTop", "answer": "C", "object_name": "Cabinet", "image_1": "FloorPlan3/14/rgb_0.png", "image_2": "FloorPlan3/14/rgb_1.png", "mask_image": "FloorPlan3/14/rgb_1_mask_Cabinet|+00.58|+00.78|-02.05.png", "options": ["StoveBurner", "PepperShaker", "Cabinet", "CounterTop"]}
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+ {"id": 2405, "folder_dir": "FloorPlan3/14", "pair_name": "0-1:Microwave|+00.99|+01.31|-02.16", "query": "Please combine the information from the two images and answer the following question:\nWhat is the object being masked in the second image?\nNote: The masked region is indicated by the black rectangle outlined in red in the second image.\nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. Sink\nB. Pot\nC. Microwave\nD. Cabinet", "answer": "C", "object_name": "Microwave", "image_1": "FloorPlan3/14/rgb_0.png", "image_2": "FloorPlan3/14/rgb_1.png", "mask_image": "FloorPlan3/14/rgb_1_mask_Microwave|+00.99|+01.31|-02.16.png", "options": ["Sink", "Pot", "Microwave", "Cabinet"]}
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+ {"id": 2406, "folder_dir": "FloorPlan3/14", "pair_name": "1-0:Cabinet|+00.58|+00.78|-02.05", "query": "Please combine the information from the two images and answer the following question:\nWhat is the object being masked in the second image?\nNote: The masked region is indicated by the black rectangle outlined in red in the second image.\nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. Cabinet\nB. CounterTop\nC. Fridge\nD. Drawer", "answer": "A", "object_name": "Cabinet", "image_1": "FloorPlan3/14/rgb_1.png", "image_2": "FloorPlan3/14/rgb_0.png", "mask_image": "FloorPlan3/14/rgb_0_mask_Cabinet|+00.58|+00.78|-02.05.png", "options": ["Cabinet", "CounterTop", "Fridge", "Drawer"]}
4
+ {"id": 2407, "folder_dir": "FloorPlan3/14", "pair_name": "1-0:Microwave|+00.99|+01.31|-02.16", "query": "Please combine the information from the two images and answer the following question:\nWhat is the object being masked in the second image?\nNote: The masked region is indicated by the black rectangle outlined in red in the second image.\nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. Fridge\nB. Cabinet\nC. Drawer\nD. Microwave", "answer": "D", "object_name": "Microwave", "image_1": "FloorPlan3/14/rgb_1.png", "image_2": "FloorPlan3/14/rgb_0.png", "mask_image": "FloorPlan3/14/rgb_0_mask_Microwave|+00.99|+01.31|-02.16.png", "options": ["Fridge", "Cabinet", "Drawer", "Microwave"]}
5
+ {"id": 2408, "folder_dir": "FloorPlan3/14", "pair_name": "1-0:CoffeeMachine|+01.13|+01.31|-01.43", "query": "Please combine the information from the two images and answer the following question:\nWhat is the object being masked in the second image?\nNote: The masked region is indicated by the black rectangle outlined in red in the second image.\nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. WineBottle\nB. Drawer\nC. CoffeeMachine\nD. Cabinet", "answer": "C", "object_name": "CoffeeMachine", "image_1": "FloorPlan3/14/rgb_1.png", "image_2": "FloorPlan3/14/rgb_0.png", "mask_image": "FloorPlan3/14/rgb_0_mask_CoffeeMachine|+01.13|+01.31|-01.43.png", "options": ["WineBottle", "Drawer", "CoffeeMachine", "Cabinet"]}
6
+ {"id": 2409, "folder_dir": "FloorPlan3/14", "pair_name": "1-0:Stool|+00.61|+00.22|-01.08", "query": "Please combine the information from the two images and answer the following question:\nWhat is the object being masked in the second image?\nNote: The masked region is indicated by the black rectangle outlined in red in the second image.\nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. Cabinet\nB. Drawer\nC. Stool\nD. Fridge", "answer": "C", "object_name": "Stool", "image_1": "FloorPlan3/14/rgb_1.png", "image_2": "FloorPlan3/14/rgb_0.png", "mask_image": "FloorPlan3/14/rgb_0_mask_Stool|+00.61|+00.22|-01.08.png", "options": ["Cabinet", "Drawer", "Stool", "Fridge"]}
train/FloorPlan3/14/questions_distance.jsonl ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {"id": 808, "folder_dir": "FloorPlan3/14", "query": "Which of the following objects is closest to CounterTop in the two images? (Note: Use the distance between centroids to determine closeness.) \nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. Stool\nB. Egg\nC. Cup\nD. Other\n", "answer": "C", "src_object": "CounterTop", "target_object": "Cup", "question": "Which of the following objects is closest to CounterTop in the two images? (Note: Use the distance between centroids to determine closeness.) \nChoose the correct option from the list below. Only respond with the corresponding letter.", "options": [{"text": "Stool", "semantic_id": "Stool|+00.61|+00.22|-01.08", "distance": 1.3584412943802613, "com": {"x": 0.6109480857849121, "y": 0.6004177927970886, "z": -1.0845983028411865}}, {"text": "Egg", "semantic_id": "Egg|-01.57|+01.36|-01.05", "distance": 1.2530732908311164, "com": {"x": -1.566115140914917, "y": 1.3560426235198975, "z": -1.0531346797943115}}, {"text": "Cup", "semantic_id": "Cup|+00.68|+01.31|-00.90", "distance": 1.150275865856867, "com": {"x": 0.6816283464431763, "y": 1.3818168640136719, "z": -0.9019367694854736}}, {"text": "Other", "semantic_id": -1, "distance": -1, "com": [0, 0, 0]}], "image_1": "FloorPlan3/14/rgb_0.png", "image_2": "FloorPlan3/14/rgb_1.png"}
2
+ {"id": 809, "folder_dir": "FloorPlan3/14", "query": "Which of the following objects is closest to Microwave in the two images? (Note: Use the distance between centroids to determine closeness.) \nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. Spoon\nB. Knife\nC. Fork\nD. Other\n", "answer": "B", "src_object": "Microwave", "target_object": "Knife", "question": "Which of the following objects is closest to Microwave in the two images? (Note: Use the distance between centroids to determine closeness.) \nChoose the correct option from the list below. Only respond with the corresponding letter.", "options": [{"text": "Spoon", "semantic_id": "Spoon|+00.61|+01.32|-02.36", "distance": 0.47074922544013276, "com": {"x": 0.6120853424072266, "y": 1.3240607976913452, "z": -2.3740434646606445}}, {"text": "Knife", "semantic_id": "Knife|+00.72|+01.32|-02.20", "distance": 0.3580538482673549, "com": {"x": 0.6865148544311523, "y": 1.3173574209213257, "z": -2.191901206970215}}, {"text": "Fork", "semantic_id": "Fork|+00.62|+01.31|-02.48", "distance": 0.5361724016087552, "com": {"x": 0.6228759288787842, "y": 1.3203449249267578, "z": -2.506157159805298}}, {"text": "Other", "semantic_id": -1, "distance": -1, "com": [0, 0, 0]}], "image_1": "FloorPlan3/14/rgb_0.png", "image_2": "FloorPlan3/14/rgb_1.png"}
3
+ {"id": 810, "folder_dir": "FloorPlan3/14", "query": "Which of the following objects is closest to CoffeeMachine in the two images? (Note: Use the distance between centroids to determine closeness.) \nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. Cup\nB. Microwave\nC. WineBottle\nD. Other\n", "answer": "C", "src_object": "CoffeeMachine", "target_object": "WineBottle", "question": "Which of the following objects is closest to CoffeeMachine in the two images? (Note: Use the distance between centroids to determine closeness.) \nChoose the correct option from the list below. Only respond with the corresponding letter.", "options": [{"text": "Cup", "semantic_id": "Cup|+00.68|+01.31|-00.90", "distance": 0.6565052221144543, "com": {"x": 0.6816283464431763, "y": 1.3818168640136719, "z": -0.9019367694854736}}, {"text": "Microwave", "semantic_id": "Microwave|+00.99|+01.31|-02.16", "distance": 0.7380721643292547, "com": {"x": 1.0008000135421753, "y": 1.4866340160369873, "z": -2.1641013622283936}}, {"text": "WineBottle", "semantic_id": "WineBottle|+00.96|+01.31|-01.01", "distance": 0.4249782675068732, "com": {"x": 0.9629949331283569, "y": 1.4733142852783203, "z": -1.0143574476242065}}, {"text": "Other", "semantic_id": -1, "distance": -1, "com": [0, 0, 0]}], "image_1": "FloorPlan3/14/rgb_0.png", "image_2": "FloorPlan3/14/rgb_1.png"}
4
+ {"id": 811, "folder_dir": "FloorPlan3/14", "query": "Which of the following objects is closest to Stool in the two images? (Note: Use the distance between centroids to determine closeness.) \nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. CoffeeMachine\nB. WineBottle\nC. Cup\nD. Other\n", "answer": "C", "src_object": "Stool", "target_object": "Cup", "question": "Which of the following objects is closest to Stool in the two images? (Note: Use the distance between centroids to determine closeness.) \nChoose the correct option from the list below. Only respond with the corresponding letter.", "options": [{"text": "CoffeeMachine", "semantic_id": "CoffeeMachine|+01.13|+01.31|-01.43", "distance": 1.0649827474677525, "com": {"x": 1.0539968013763428, "y": 1.5058646202087402, "z": -1.4282000064849854}}, {"text": "WineBottle", "semantic_id": "WineBottle|+00.96|+01.31|-01.01", "distance": 0.9438321074492584, "com": {"x": 0.9629949331283569, "y": 1.4733142852783203, "z": -1.0143574476242065}}, {"text": "Cup", "semantic_id": "Cup|+00.68|+01.31|-00.90", "distance": 0.8055715011795783, "com": {"x": 0.6816283464431763, "y": 1.3818168640136719, "z": -0.9019367694854736}}, {"text": "Other", "semantic_id": -1, "distance": -1, "com": [0, 0, 0]}], "image_1": "FloorPlan3/14/rgb_0.png", "image_2": "FloorPlan3/14/rgb_1.png"}
train/FloorPlan3/14/rgb_0.png ADDED

Git LFS Details

  • SHA256: 9e9e7bccc42ba25795b0afc7c904e20ce99097a8d50750c03ba0dc9b69fae275
  • Pointer size: 131 Bytes
  • Size of remote file: 927 kB
train/FloorPlan3/14/rgb_0_mask_Cabinet|+00.58|+00.78|-02.05.png ADDED

Git LFS Details

  • SHA256: c1eaca1b7c2213b25b4f4c7334a0423865643d4424d003e002f30e7d1c561e44
  • Pointer size: 131 Bytes
  • Size of remote file: 817 kB
train/FloorPlan3/14/rgb_0_mask_CoffeeMachine|+01.13|+01.31|-01.43.png ADDED

Git LFS Details

  • SHA256: 1d9e86c960993416549465407e41e09c730fe274ce8fc9c0bff46994a5c4b7ab
  • Pointer size: 131 Bytes
  • Size of remote file: 809 kB
train/FloorPlan3/14/rgb_0_mask_Microwave|+00.99|+01.31|-02.16.png ADDED

Git LFS Details

  • SHA256: b10ef7be6939702620f64dd749f37253717f04836a7186a87b3cb8aa65649109
  • Pointer size: 131 Bytes
  • Size of remote file: 815 kB
train/FloorPlan3/14/rgb_0_mask_Stool|+00.61|+00.22|-01.08.png ADDED

Git LFS Details

  • SHA256: bb6445eed91a4ac2bf20f0bf24e325dc366b1a333ed66a9371bfd245e1d17bb9
  • Pointer size: 131 Bytes
  • Size of remote file: 802 kB
train/FloorPlan3/14/rgb_1.png ADDED

Git LFS Details

  • SHA256: 0fc42896944c8de6af3559fc480cd05aa41594d6c8415972d0327295ee1c2eab
  • Pointer size: 131 Bytes
  • Size of remote file: 803 kB
train/FloorPlan3/14/rgb_1_mask_Cabinet|+00.58|+00.78|-02.05.png ADDED

Git LFS Details

  • SHA256: afefd08c0c34ec79eec2b669c07028b7f376c9d76cb96f3ffb12dd2c84fc0962
  • Pointer size: 131 Bytes
  • Size of remote file: 712 kB