{"url":"/dataset/ucf-sports","name":"UCF Sports","full_name":null,"description_markdown":"The UCF Sports dataset consists of a set of actions collected from various sports which are typically featured on broadcast television channels such as the BBC and ESPN. The video sequences were obtained from a wide range of stock footage websites including BBC Motion gallery and GettyImages.\r\n\r\nThe dataset includes a total of 150 sequences with the resolution of 720 x 480. The collection represents a natural pool of actions featured in a wide range of scenes and viewpoints.\r\n\r\nSource: [UCF Sports Action](https://www.crcv.ucf.edu/data/UCF_Sports_Action.php)","description_withheld":null,"homepage":"https://www.crcv.ucf.edu/data/UCF_Sports_Action.php","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[{"name":"Action Detection","url":"/task/action-detection","datasets_with_task":"/datasets/task/action-detection"}],"languages":[],"variants":["UCF Sports"],"data_loaders":[{"repo":"https://github.com/activeloopai/Hub","url":"https://docs.activeloop.ai/datasets/ucf-sports-action-dataset","frameworks":["tf","pytorch"]}],"num_papers_in_archive":9,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/action-detection-on-ucf-sports","task":"Action Detection","dataset_variant":"UCF Sports","rows":7,"metrics":["Frame-mAP 0.5","Video-mAP 0.2","Video-mAP 0.5"],"first_row_in_archive_order":{"model":"T-CNN","paper":"/paper/tube-convolutional-neural-network-t-cnn-for","metrics":{"Frame-mAP 0.5":"86.7"},"code_links":[{"title":"cyberpunk317/Action_detection","url":"https://github.com/cyberpunk317/Action_detection"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/finding-action-tubes-with-a-sparse-to-dense","title":"Finding Action Tubes with a Sparse-to-Dense Framework","date":"2020-08-30","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/dance-with-flow-two-in-one-stream-action","title":"Dance with Flow: Two-in-One Stream Action Detection","date":"2019-04-01","rows_on_this_dataset":2,"code_links":1,"syntology":null},{"paper":"/paper/tube-convolutional-neural-network-t-cnn-for","title":"Tube Convolutional Neural Network (T-CNN) for Action Detection in Videos","date":"2017-03-30","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/multi-region-two-stream-r-cnn-for-action","title":"Multi-region two-stream R-CNN for action detection","date":"2016-09-17","rows_on_this_dataset":2,"code_links":0,"syntology":null},{"paper":"/paper/finding-action-tubes","title":"Finding Action Tubes","date":"2014-11-21","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"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."}