{"url":"/dataset/divotrack","name":"DIVOTrack","full_name":null,"description_markdown":"**DIVOTrack** is a cross-view multi-object tracking dataset for DIVerse Open scenes with dense tracking pedestrians in realistic and non-experimental environments. DIVOTrack has ten distinct scenarios and 550 cross-view tracks.\r\n\r\nSource: [DIVOTrack: A Novel Dataset and Baseline Method for Cross-View Multi-Object Tracking in DIVerse Open Scenes](https://arxiv.org/pdf/2302.07676v1.pdf)\r\n\r\nImage Source: [https://github.com/shengyuhao/DIVOTrack](https://github.com/shengyuhao/DIVOTrack)","description_withheld":null,"homepage":"https://github.com/shengyuhao/divotrack","introduced_date":"2023-02-15","introduced_date_note":null,"introduced_by":{"paper":"/paper/divotrack-a-novel-dataset-and-baseline-method","title":"DIVOTrack: A Novel Dataset and Baseline Method for Cross-View Multi-Object Tracking in DIVerse Open Scenes","first_author":"Shenghao Hao","url":null},"license":null,"modalities":[{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[{"name":"Object Tracking","url":"/task/object-tracking","datasets_with_task":"/datasets/task/object-tracking"},{"name":"Multi-Object Tracking","url":"/task/multi-object-tracking","datasets_with_task":"/datasets/task/multi-object-tracking"}],"languages":[],"variants":["DIVOTrack"],"data_loaders":[],"num_papers_in_archive":3,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-25T09:33:49+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."}