{"url":"/dataset/ap-10k","name":"AP-10K","full_name":null,"description_markdown":"AP-10K is the first large-scale benchmark for general animal pose estimation, to facilitate the research in animal pose estimation. AP-10K consists of 10,015 images collected and filtered from 23 animal families and 60 species following the taxonomic rank and high-quality keypoint annotations labeled and checked manually.\r\n\r\nSource: [AP-10K: A Benchmark for Animal Pose Estimation in the Wild](/paper/ap-10k-a-benchmark-for-animal-pose-estimation)\r\n\r\nImage source: [https://arxiv.org/pdf/2108.12617v1.pdf]()","description_withheld":null,"homepage":"https://github.com/AlexTheBad/AP-10K","introduced_date":"2021-08-28","introduced_date_note":null,"introduced_by":{"paper":"/paper/ap-10k-a-benchmark-for-animal-pose-estimation","title":"AP-10K: A Benchmark for Animal Pose Estimation in the Wild","first_author":"Hang Yu","url":null},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Animal Pose Estimation","url":"/task/animal-pose-estimation","datasets_with_task":"/datasets/task/animal-pose-estimation"},{"name":"Semantic correspondence","url":"/task/semantic-correspondence","datasets_with_task":"/datasets/task/semantic-correspondence"}],"languages":[],"variants":["AP-10K"],"data_loaders":[],"num_papers_in_archive":39,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/animal-pose-estimation-on-ap-10k","task":"Animal Pose Estimation","dataset_variant":"AP-10K","rows":10,"metrics":["AP"],"first_row_in_archive_order":{"model":"ViTPose+-H","paper":"/paper/vitpose-vision-transformer-foundation-model","metrics":{"AP":"82.4"},"code_links":[{"title":"huggingface/transformers","url":"https://github.com/huggingface/transformers"},{"title":"vitae-transformer/vitpose","url":"https://github.com/vitae-transformer/vitpose"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/semantic-correspondence-on-ap-10k","task":"Semantic correspondence","dataset_variant":"AP-10K","rows":1,"metrics":["PCK"],"first_row_in_archive_order":{"model":"DINOv2","paper":"/paper/semantic-correspondence-unified-benchmarking","metrics":{"PCK":"87.4"},"code_links":[{"title":"Visual-AI/Semantic-Correspondence","url":"https://github.com/Visual-AI/Semantic-Correspondence"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/semantic-correspondence-unified-benchmarking","title":"Semantic Correspondence: Unified Benchmarking and a Strong Baseline","date":"2025-05-23","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/unipose-detecting-any-keypoints","title":"X-Pose: Detecting Any Keypoints","date":"2023-10-12","rows_on_this_dataset":1,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":13,"samples_ran":11,"samples_unverified":2,"pointer_only_for_licence":13,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/vitpose-vision-transformer-foundation-model","title":"ViTPose++: Vision Transformer for Generic Body Pose Estimation","date":"2022-12-07","rows_on_this_dataset":7,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":3,"samples_ran":1,"samples_unverified":2,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/panoptic-animal-pose-estimators-are-zero-shot","title":"SuperAnimal pretrained pose estimation models for behavioral analysis","date":"2022-03-14","rows_on_this_dataset":2,"code_links":3,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":2,"samples_harvested":16,"samples_ran":12,"samples_unverified":4,"pointer_only_for_licence":13,"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."}