{"url":"/dataset/animal-kingdom","name":"Animal Kingdom","full_name":null,"description_markdown":"Animal Kingdom is a large and diverse dataset that provides multiple annotated tasks to enable a more thorough understanding of natural animal behaviors. The wild animal footage used in the dataset records different times of the day in an extensive range of environments containing variations in backgrounds, viewpoints, illumination and weather conditions. More specifically, the dataset contains 50 hours of annotated videos to localize relevant animal behavior segments in long videos for the video grounding task, 30K video sequences for the fine-grained multi-label action recognition task, and 33K frames for the pose estimation task, which correspond to a diverse range of animals with 850 species across 6 major animal classes.","description_withheld":null,"homepage":"https://sutdcv.github.io/Animal-Kingdom","introduced_date":"2022-04-18","introduced_date_note":null,"introduced_by":{"paper":"/paper/animal-kingdom-a-large-and-diverse-dataset","title":"Animal Kingdom: A Large and Diverse Dataset for Animal Behavior Understanding","first_author":"Xun Long Ng","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[{"name":"Pose Estimation","url":"/task/pose-estimation","datasets_with_task":"/datasets/task/pose-estimation"},{"name":"Action Recognition","url":"/task/action-recognition-in-videos","datasets_with_task":"/datasets/task/action-recognition-in-videos"},{"name":"Long-tail Learning","url":"/task/long-tail-learning","datasets_with_task":"/datasets/task/long-tail-learning"},{"name":"2D Pose Estimation","url":"/task/2d-pose-estimation","datasets_with_task":"/datasets/task/2d-pose-estimation"},{"name":"Animal Pose Estimation","url":"/task/animal-pose-estimation","datasets_with_task":"/datasets/task/animal-pose-estimation"},{"name":"Video Grounding","url":"/task/video-grounding","datasets_with_task":"/datasets/task/video-grounding"},{"name":"Multi-Label Learning","url":"/task/multi-label-learning","datasets_with_task":"/datasets/task/multi-label-learning"},{"name":"Animal Action Recognition","url":"/task/animal-action-recognition","datasets_with_task":"/datasets/task/animal-action-recognition"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Animal Kingdom"],"data_loaders":[],"num_papers_in_archive":26,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/action-recognition-on-animal-kingdom","task":"Action Recognition","dataset_variant":"Animal Kingdom","rows":4,"metrics":["mAP"],"first_row_in_archive_order":{"model":"ARTEMIS: animal recognition through enhanced multimodal integration system","paper":null,"metrics":{"mAP":"79.82"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/2d-pose-estimation-on-animal-kingdom","task":"2D Pose Estimation","dataset_variant":"Animal Kingdom","rows":1,"metrics":["Mean PCK@0.2","PCK@0.05"],"first_row_in_archive_order":{"model":"UniPose","paper":"/paper/unipose-detecting-any-keypoints","metrics":{"Mean PCK@0.2":"96.1","PCK@0.05":"71.5"},"code_links":[{"title":"idea-research/x-pose","url":"https://github.com/idea-research/x-pose"},{"title":"IDEA-Research/UniPose","url":"https://github.com/IDEA-Research/UniPose"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"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":"2026-09-25T09:33:49+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/msqnet-actor-agnostic-action-recognition-with","title":"Actor-agnostic Multi-label Action Recognition with Multi-modal Query","date":"2023-07-20","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/animal-kingdom-a-large-and-diverse-dataset","title":"Animal Kingdom: A Large and Diverse Dataset for Animal Behavior Understanding","date":"2022-04-18","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-25T09:33:49+00:00","papers_with_samples":1,"samples_harvested":13,"samples_ran":11,"samples_unverified":2,"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."}