{"url":"/dataset/cropcoco","name":"CropCOCO","full_name":null,"description_markdown":"CropCOCO is a validation-only dataset of COCO val 2017 images cropped such that some keypoints annotations are outside of the image. It can be used for keypoint detection, out-of-image keypoint detection and localization, person detection and amodal person detection.","description_withheld":null,"homepage":"https://huggingface.co/datasets/vrg-prague/CropCOCO","introduced_date":"2024-12-03","introduced_date_note":null,"introduced_by":{"paper":"/paper/probpose-a-probabilistic-approach-to-2d-human","title":"ProbPose: A Probabilistic Approach to 2D Human Pose Estimation","first_author":"Miroslav Purkrabek","url":null},"license":{"name":"GPL-3.0","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"2D Human Pose Estimation","url":"/task/2d-human-pose-estimation","datasets_with_task":"/datasets/task/2d-human-pose-estimation"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["CropCOCO"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}