{"url":"/dataset/soccernet","name":"SoccerNet","full_name":null,"description_markdown":"A benchmark for action spotting in soccer videos. The dataset is composed of 500 complete soccer games from six main European leagues, covering three seasons from 2014 to 2017 and a total duration of 764 hours. A total of 6,637 temporal annotations are automatically parsed from online match reports at a one minute resolution for three main classes of events (Goal, Yellow/Red Card, and Substitution). \r\n\r\nSource: [SoccerNet: A Scalable Dataset for Action Spotting in Soccer Videos](/paper/soccernet-a-scalable-dataset-for-action)","description_withheld":null,"homepage":"https://silviogiancola.github.io/SoccerNet/","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/soccernet-a-scalable-dataset-for-action","title":"SoccerNet: A Scalable Dataset for Action Spotting in Soccer Videos","first_author":"Silvio Giancola","url":null},"license":{"name":"Custom","url":"https://silviogiancola.com/SoccerNet/"},"modalities":[],"tasks":[{"name":"Action Classification","url":"/task/action-classification","datasets_with_task":"/datasets/task/action-classification"},{"name":"Action Spotting","url":"/task/action-spotting","datasets_with_task":"/datasets/task/action-spotting"}],"languages":[],"variants":["SoccerNet"],"data_loaders":[],"num_papers_in_archive":53,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/action-spotting-on-soccernet","task":"Action Spotting","dataset_variant":"SoccerNet","rows":7,"metrics":["Average-mAP"],"first_row_in_archive_order":{"model":"RMS-Net (Tomei et al.)","paper":"/paper/rms-net-regression-and-masking-for-soccer","metrics":{"Average-mAP":"75.1"},"code_links":[{"title":"aimagelab/rmsnet_soccer","url":"https://github.com/aimagelab/rmsnet_soccer"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/spotting-football-events-using-two-stream","title":"Spotting Football Events Using Two-Stream Convolutional Neural Network and Dilated Recurrent Neural Network","date":"2021-04-21","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/rms-net-regression-and-masking-for-soccer","title":"RMS-Net: Regression and Masking for Soccer Event Spotting","date":"2021-02-15","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/real-time-detection-of-events-in-soccer","title":"Real-Time Detection of Events in Soccer Videosusing 3D Convolutional Neural Networks","date":"2020-12-02","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/improved-soccer-action-spotting-using-both","title":"Improved Soccer Action Spotting using both Audio and Video Streams","date":"2020-11-09","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/event-detection-in-coarsely-annotated-sports","title":"Event detection in coarsely annotated sports videos via parallel multi receptive field 1D convolutions","date":"2020-04-13","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/a-context-aware-loss-function-for-action","title":"A Context-Aware Loss Function for Action Spotting in Soccer Videos","date":"2019-12-03","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/soccernet-a-scalable-dataset-for-action","title":"SoccerNet: A Scalable Dataset for Action Spotting in Soccer Videos","date":"2018-04-12","rows_on_this_dataset":1,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":9,"samples_ran":1,"samples_unverified":8,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":9,"samples_ran":1,"samples_unverified":8,"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."}