{"v1": "You are tasked with evaluating the similarity between two images while paying attention to the following conditions: {conditions}. Your goal is to judge the similarity of the images overall, where satisfying the conditions increases the similarity score. If the images are identical but fail to meet any of the conditions, they should still receive a higher score than completely unrelated images. Provide a similarity score on a scale from 1 to 10, where 1 represents entirely dissimilar images and 10 represents identical images that satisfy all conditions. Ensure your response is strictly in the following format:\n\"Score: <1-10>\\nReason: <reason for score>\"\\nDo not include anything else in your response. What score would you assign to this pair of images?", "v2": "As a similarity evaluator, your responsibility is to assess the similarity of the given images while considering these conditions: {conditions}. The similarity score should reflect both how well the images align with the conditions and their overall resemblance. Images that are identical but do not meet the conditions should receive a moderate score, while completely unrelated images should receive the lowest score. Provide your score on a scale of 1 to 10, with 10 being identical images that fully meet the conditions. Ensure your response is in the following format:\n\"Score: <1-10>\\nReason: <reason for score>\"\\nProvide nothing else. What is your score?", "v3": "Evaluate the similarity of the images based on the following conditions: {conditions}. The score should take into account how well the images align with these conditions, as well as their overall resemblance. Even if the images are identical but fail to meet the conditions, they should still receive a higher score than completely different images. Provide a score from 1 to 10, where 1 indicates no similarity and 10 indicates identical images that fully satisfy the conditions. Respond only in this format:\n\"Score: <1-10>\\nReason: <reason for score>\"\\nNothing else should be included. What score would you give?", "v4": "Judge the similarity of these images based on: {conditions}. The similarity score should reflect both the overall resemblance of the images and how well they satisfy the conditions. Identical images that do not meet the conditions should still score higher than completely unrelated images. Provide a score on a scale of 1 to 10, with 1 being no similarity and 10 being identical images that satisfy all conditions. Respond strictly in this format:\n\"Score: <1-10>\\nReason: <reason for score>\"\\nDo not include additional text. What's your rating?", "v5": "Rate the similarity of these images on a scale of 1 to 10 while considering {conditions}. The score should account for both how well the images satisfy the conditions and their overall resemblance. If the images are identical but do not meet the conditions, they should still score higher than unrelated images. Your response must follow this exact format:\n\"Score: <1-10>\\nReason: <reason for score>\"\\nProvide nothing else. What's your score?"}
{"spatial_position": {"variant": "- Be sensitive to spatial positions while evaluating images. For example, if the objects in the images are the same but positioned differently, the similarity score should decrease. If the objects and their positions match exactly, the similarity score should remain high.", "invariant": "- Be invariant to spatial positions while evaluating images. For example, even if the objects in the images are positioned differently in space, as long as they are the same objects, the similarity score should remain high. If the images contain different objects, the similarity score should decrease regardless of spatial arrangement."}, "elastic_transformation": {"variant": "- Be sensitive to elastic transformations while evaluating images. For example, if the images are the same but have differing distortions due to elastic transformations, the similarity score should decrease. If the images are identical and have matching elastic transformations, the similarity score should remain high.", "invariant": "- Be invariant to elastic transformations while evaluating images. For example, even if the images are identical except for distortions introduced by elastic transformations, the similarity score should remain high. If the images are different, the similarity score should decrease regardless of elastic distortions."}, "rotation": {"variant": "- Be sensitive to rotations while evaluating images. For example, if the images are identical except for one being rotated, the similarity score should decrease. If the images are the same and their orientations match exactly, the similarity score should remain high.", "invariant": "- Be invariant to rotations while evaluating images. For example, if one image is a rotated version of the other, the similarity score should remain high. If the images are different, the similarity score should decrease regardless of their orientation."}, "color_jittering": {"variant": "- Be sensitive to color jittering while evaluating images. For example, if the images are identical except for one having altered brightness, contrast, or other color attributes, the similarity score should decrease. If the images are the same and have identical color attributes, the similarity score should remain high.", "invariant": "- Be invariant to color jittering while evaluating images. For example, even if one image has been modified with random color changes such as brightness or contrast adjustments, the similarity score should remain high. If the images are different, the similarity score should decrease regardless of the jittering."}, "gaussian_blurring": {"variant": "- Be sensitive to Gaussian blurs while evaluating images. For example, if both images are the same except one is a blurred version of the other, the similarity score should decrease. If the images are the same and have the same exact sharpness, the similarity score should remain high.", "invariant": "- Be invariant to Gaussian blurs while evaluating images. For example, even if both images are the exact same, even if one is more blurred compared to the other, the similarity score should remain high. If the images are different, the similarity score should decrease regardless of how blurred they are."}, "perspective": {"variant": "- Be sensitive to perspective transformations while evaluating images. For example, if one image has undergone a perspective transformation such that it appears with a different perspective, the similarity score should decrease. If the images are identical and have not been altered by perspective transformations, the similarity score should remain high.", "invariant": "- Be invariant to perspective transformations while evaluating images. For example, even if one image has undergone a perspective transformation such that it appears to have a different perspective, the similarity score should remain high. If the images are different, the similarity score should decrease regardless of perspective transformations."}}