{"url":"/dataset/visevent","name":"VisEvent","full_name":null,"description_markdown":"**VisEvent** (Visible-Event benchmark) is a dataset constructed for the evaluation of tracking by combing visible and event cameras. VisEvent is featured in: \r\n\r\nLarge-scale: 820 video sequences (RGB video + Event flows), contains 371,128 frames, 500 / 320 for the train / testing respectively; \r\n\r\nHigh-quality Dense Annotation: Manual annotation with careful inspection in each frame; \r\n\r\nMultiple-baseline: Dual-modality SOTA trackers.\r\n\r\nImage Source: [VisEvent: Reliable Object Tracking via Collaboration of Frame and Event Flows](/paper/visevent-reliable-object-tracking-via)","description_withheld":null,"homepage":"https://sites.google.com/view/viseventtrack/","introduced_date":"2021-08-11","introduced_date_note":null,"introduced_by":{"paper":"/paper/visevent-reliable-object-tracking-via","title":"VisEvent: Reliable Object Tracking via Collaboration of Frame and Event Flows","first_author":"Xiao Wang","url":null},"license":null,"modalities":[],"tasks":[{"name":"Object Tracking","url":"/task/object-tracking","datasets_with_task":"/datasets/task/object-tracking"}],"languages":[],"variants":["VisEvent"],"data_loaders":[{"repo":"https://github.com/ZJuLong/dataset","url":"https://github.com/ZJuLong/dataset","frameworks":["pytorch"]}],"num_papers_in_archive":23,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/object-tracking-on-visevent","task":"Object Tracking","dataset_variant":"VisEvent","rows":1,"metrics":["Precision Plot"],"first_row_in_archive_order":{"model":"RT-MDNet","paper":"/paper/visevent-reliable-object-tracking-via","metrics":{"Precision Plot":"0.627"},"code_links":[{"title":"wangxiao5791509/VisEvent_SOT_Benchmark","url":"https://github.com/wangxiao5791509/VisEvent_SOT_Benchmark"},{"title":"wangxiao5791509/RGB-DVS-SOT-Baselines","url":"https://github.com/wangxiao5791509/RGB-DVS-SOT-Baselines"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/visevent-reliable-object-tracking-via","title":"VisEvent: Reliable Object Tracking via Collaboration of Frame and Event Flows","date":"2021-08-11","rows_on_this_dataset":1,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":1,"samples_ran":1,"samples_unverified":0,"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":1,"samples_ran":1,"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."}