INRIA CopyDays (Copydays) is a standard benchmark dataset from INRIA (H. Jégou and collaborators) for image copy-detection / near-duplicate image retrieval. The dataset contains original (unmodified) images and corresponding transformed copies produced with various image distortions; the dataset is provided with named subsets, including a "strong" subset that contains heavily modified copies (examples of strong modifications: cropping, rotation, compression, large photometric/geometric changes). INRIA CopyDays is widely used to evaluate robustness of image-retrieval and copy-detection systems; many works evaluate on the CopyDays strong subset and commonly augment the evaluation by adding distractors from large web collections such as YFCC100M (the paper reports results on the strong subset with 10k YFCC100M distractors). Sources: INRIA dataset page for Jégou's datasets (INRIA Holidays / CopyDays) and the Hugging Face dataset entry (randall-lab/INRIA-CopyDays).
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