{"url":"/dataset/iitb-corridor","name":"IITB Corridor","full_name":null,"description_markdown":"An abnormal activity data-set for research use that contains 4,83,566 annotated frames.\r\n\r\nSource: [Multi-timescale Trajectory Prediction for Abnormal Human Activity Detection](/paper/multi-timescale-trajectory-prediction-for)","description_withheld":null,"homepage":"https://rodrigues-royston.github.io/Multi-timescale_Trajectory_Prediction/","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/multi-timescale-trajectory-prediction-for","title":"Multi-timescale Trajectory Prediction for Abnormal Human Activity Detection","first_author":"Royston Rodrigues","url":null},"license":null,"modalities":[],"tasks":[{"name":"Anomaly Detection","url":"/task/anomaly-detection","datasets_with_task":"/datasets/task/anomaly-detection"},{"name":"Action Detection","url":"/task/action-detection","datasets_with_task":"/datasets/task/action-detection"},{"name":"Trajectory Prediction","url":"/task/trajectory-prediction","datasets_with_task":"/datasets/task/trajectory-prediction"},{"name":"Video Anomaly Detection","url":"/task/video-anomaly-detection","datasets_with_task":"/datasets/task/video-anomaly-detection"},{"name":"Activity Detection","url":"/task/activity-detection","datasets_with_task":"/datasets/task/activity-detection"}],"languages":[],"variants":["IITB Corridor"],"data_loaders":[],"num_papers_in_archive":5,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/anomaly-detection-on-iitb-corridor-1","task":"Anomaly Detection","dataset_variant":"IITB Corridor","rows":1,"metrics":["AUC"],"first_row_in_archive_order":{"model":"VideoPatchCore","paper":"/paper/videopatchcore-an-effective-method-to","metrics":{"AUC":"76.4%"},"code_links":[{"title":"SkiddieAhn/Paper-VideoPatchCore","url":"https://github.com/SkiddieAhn/Paper-VideoPatchCore"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/video-anomaly-detection-on-iitb-corridor-1","task":"Video Anomaly Detection","dataset_variant":"IITB Corridor","rows":1,"metrics":["AUC"],"first_row_in_archive_order":{"model":"VideoPatchCore","paper":"/paper/videopatchcore-an-effective-method-to","metrics":{"AUC":"76.4%"},"code_links":[{"title":"SkiddieAhn/Paper-VideoPatchCore","url":"https://github.com/SkiddieAhn/Paper-VideoPatchCore"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/videopatchcore-an-effective-method-to","title":"VideoPatchCore: An Effective Method to Memorize Normality for Video Anomaly Detection","date":"2024-09-24","rows_on_this_dataset":2,"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."}