{"url":"/dataset/volleyball","name":"Volleyball","full_name":null,"description_markdown":"**Volleyball** is a video action recognition dataset. It has 4830 annotated frames that were handpicked from 55 videos with 9 player action labels and 8 team activity labels. It contains group activity annotations as well as individual activity annotations.\r\n\r\nSource: [https://github.com/mostafa-saad/deep-activity-rec#dataset](https://github.com/mostafa-saad/deep-activity-rec#dataset)\r\nImage Source: [https://github.com/mostafa-saad/deep-activity-rec#dataset](https://github.com/mostafa-saad/deep-activity-rec#dataset)","description_withheld":null,"homepage":"https://github.com/mostafa-saad/deep-activity-rec#dataset","introduced_date":"2016-01-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/a-hierarchical-deep-temporal-model-for-group","title":"A Hierarchical Deep Temporal Model for Group Activity Recognition","first_author":"Moustafa Ibrahim","url":null},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[{"name":"Action Recognition","url":"/task/action-recognition-in-videos","datasets_with_task":"/datasets/task/action-recognition-in-videos"},{"name":"Sports Ball Detection and Tracking","url":"/task/sports-ball-detection-and-tracking","datasets_with_task":"/datasets/task/sports-ball-detection-and-tracking"},{"name":"Group Activity Recognition","url":"/task/group-activity-recognition","datasets_with_task":"/datasets/task/group-activity-recognition"}],"languages":[],"variants":["Volleyball"],"data_loaders":[{"repo":"https://github.com/mostafa-saad/deep-activity-rec","url":"https://github.com/mostafa-saad/deep-activity-rec","frameworks":[]}],"num_papers_in_archive":80,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/group-activity-recognition-on-volleyball","task":"Group Activity Recognition","dataset_variant":"Volleyball","rows":12,"metrics":["Accuracy"],"first_row_in_archive_order":{"model":"Tamura et al.","paper":"/paper/hunting-group-clues-with-transformers-for","metrics":{"Accuracy":"96.0"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/sports-ball-detection-and-tracking-on-1","task":"Sports Ball Detection and Tracking","dataset_variant":"Volleyball","rows":8,"metrics":["F1 (%)","Accuracy (%)","Average Precision (%)"],"first_row_in_archive_order":{"model":"WASB (Step=1)","paper":"/paper/widely-applicable-strong-baseline-for-sports","metrics":{"Accuracy (%)":"80.0","Average Precision (%)":"83.2","F1 (%)":"88.0"},"code_links":[{"title":"nttcom/wasb-sbdt","url":"https://github.com/nttcom/wasb-sbdt"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/action-recognition-in-videos-on-volleyball","task":"Action Recognition","dataset_variant":"Volleyball","rows":4,"metrics":["Accuracy"],"first_row_in_archive_order":{"model":"PoseC3D (Pose Only)","paper":"/paper/revisiting-skeleton-based-action-recognition","metrics":{"Accuracy":"91.3"},"code_links":[{"title":"open-mmlab/mmaction2","url":"https://github.com/open-mmlab/mmaction2"},{"title":"kennymckormick/pyskl","url":"https://github.com/kennymckormick/pyskl"},{"title":"txyugood/PaddlePoseC3D","url":"https://github.com/txyugood/PaddlePoseC3D"},{"title":"sandman002/One-Style-is-All-You-Need-to-Generate-a-Video","url":"https://github.com/sandman002/One-Style-is-All-You-Need-to-Generate-a-Video"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/chase-learning-convex-hull-adaptive-shift-for","title":"CHASE: Learning Convex Hull Adaptive Shift for Skeleton-based Multi-Entity Action Recognition","date":"2024-10-09","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":2,"samples_ran":2,"samples_unverified":0,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/widely-applicable-strong-baseline-for-sports","title":"Widely Applicable Strong Baseline for Sports Ball Detection and Tracking","date":"2023-11-09","rows_on_this_dataset":4,"code_links":1,"syntology":null},{"paper":"/paper/hunting-group-clues-with-transformers-for","title":"Hunting Group Clues with Transformers for Social Group Activity Recognition","date":"2022-07-12","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/monotrack-shuttle-trajectory-reconstruction","title":"MonoTrack: Shuttle trajectory reconstruction from monocular badminton video","date":"2022-04-04","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/composer-compositional-learning-of-group","title":"COMPOSER: Compositional Reasoning of Group Activity in Videos with Keypoint-Only Modality","date":"2021-12-11","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/spatio-temporal-dynamic-inference-network-for","title":"Spatio-Temporal Dynamic Inference Network for Group Activity Recognition","date":"2021-08-26","rows_on_this_dataset":1,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":12,"samples_ran":1,"samples_unverified":11,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/pose-is-all-you-need-the-pose-only-group","title":"Pose is all you need: The pose only group activity recognition system (POGARS)","date":"2021-08-09","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/group-activity-recognition-using-joint","title":"Group Activity Recognition Using Joint Learning of Individual Action Recognition and People Grouping","date":"2021-07-17","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/learning-group-activities-from-skeletons","title":"Learning Group Activities from Skeletons without Individual Action Labels","date":"2021-05-14","rows_on_this_dataset":2,"code_links":1,"syntology":null},{"paper":"/paper/revisiting-skeleton-based-action-recognition","title":"Revisiting Skeleton-based Action Recognition","date":"2021-04-28","rows_on_this_dataset":2,"code_links":4,"syntology":null},{"paper":"/paper/tracknetv2-efficient-shuttlecock-tracking","title":"TrackNetV2: Efficient Shuttlecock Tracking Network","date":"2020-12-03","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/real-time-cnn-based-segmentation-architecture","title":"Real-time CNN-based Segmentation Architecture for Ball Detection in a Single View Setup","date":"2020-07-23","rows_on_this_dataset":1,"code_links":2,"syntology":null},{"paper":"/paper/group-activity-recognition-by-using-effective","title":"Group Activity Recognition by Using Effective Multiple Modality Relation Representation With Temporal-Spatial Attention","date":"2020-03-10","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/deepball-deep-neural-network-ball-detector","title":"DeepBall: Deep Neural-Network Ball Detector","date":"2019-02-19","rows_on_this_dataset":1,"code_links":3,"syntology":null},{"paper":"/paper/hierarchical-long-short-term-concurrent","title":"Hierarchical Long Short-Term Concurrent Memory for Human Interaction Recognition","date":"2018-11-01","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/cern-confidence-energy-recurrent-network-for","title":"CERN: Confidence-Energy Recurrent Network for Group Activity Recognition","date":"2017-04-10","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/social-scene-understanding-end-to-end-multi","title":"Social Scene Understanding: End-to-End Multi-Person Action Localization and Collective Activity Recognition","date":"2016-11-28","rows_on_this_dataset":2,"code_links":0,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":2,"samples_harvested":14,"samples_ran":3,"samples_unverified":11,"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."}