{"url":"/dataset/quadtrack","name":"QuadTrack","full_name":null,"description_markdown":"Most existing MOT datasets are captured using pinhole cameras, which are characterized by a narrow-FoV and linear sensor motion. However, when panoramic-FoV capture devices experience even slight movements, the entire scene can change drastically, posing significant challenges for object tracking. QuadTrack addresses this challenge by providing a benchmark specifically designed to test MOT algorithms under dynamic, non-linear motion conditions. It enables evaluating algorithm robustness in tracking objects with panoramic, non-uniform motion.","description_withheld":null,"homepage":"https://github.com/xifen523/OmniTrack","introduced_date":"2025-03-06","introduced_date_note":null,"introduced_by":{"paper":"/paper/omnidirectional-multi-object-tracking","title":"Omnidirectional Multi-Object Tracking","first_author":"Kai Luo","url":null},"license":{"name":"MIT","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Videos","url":"/datasets/modality/videos"},{"name":"Tracking","url":"/datasets/modality/tracking"}],"tasks":[{"name":"Object Tracking","url":"/task/object-tracking","datasets_with_task":"/datasets/task/object-tracking"}],"languages":[],"variants":["QuadTrack"],"data_loaders":[],"num_papers_in_archive":9,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/object-tracking-on-quadtrack","task":"Object Tracking","dataset_variant":"QuadTrack","rows":8,"metrics":["HOTA"],"first_row_in_archive_order":{"model":"OmniTrack","paper":"/paper/omnidirectional-multi-object-tracking","metrics":{"HOTA":"23.45"},"code_links":[{"title":"xifen523/omnitrack","url":"https://github.com/xifen523/omnitrack"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/omnidirectional-multi-object-tracking","title":"Omnidirectional Multi-Object Tracking","date":"2025-03-06","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/diffmot-a-real-time-diffusion-based-multiple","title":"DiffMOT: A Real-time Diffusion-based Multiple Object Tracker with Non-linear Prediction","date":"2024-03-04","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/hybrid-sort-weak-cues-matter-for-online-multi","title":"Hybrid-SORT: Weak Cues Matter for Online Multi-Object Tracking","date":"2023-08-01","rows_on_this_dataset":1,"code_links":2,"syntology":null},{"paper":"/paper/bot-sort-robust-associations-multi-pedestrian","title":"BoT-SORT: Robust Associations Multi-Pedestrian Tracking","date":"2022-06-29","rows_on_this_dataset":1,"code_links":7,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":10,"samples_ran":4,"samples_unverified":6,"pointer_only_for_licence":1,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/observation-centric-sort-rethinking-sort-for","title":"Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking","date":"2022-03-27","rows_on_this_dataset":1,"code_links":7,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":31,"samples_ran":15,"samples_unverified":16,"pointer_only_for_licence":2,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/bytetrack-multi-object-tracking-by-1","title":"ByteTrack: Multi-Object Tracking by Associating Every Detection Box","date":"2021-10-13","rows_on_this_dataset":1,"code_links":10,"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/trackformer-multi-object-tracking-with","title":"TrackFormer: Multi-Object Tracking with Transformers","date":"2021-01-07","rows_on_this_dataset":1,"code_links":2,"syntology":null},{"paper":"/paper/simple-online-and-realtime-tracking-with-a","title":"Simple Online and Realtime Tracking with a Deep Association Metric","date":"2017-03-21","rows_on_this_dataset":1,"code_links":75,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":40,"samples_ran":12,"samples_unverified":28,"pointer_only_for_licence":7,"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":4,"samples_harvested":93,"samples_ran":32,"samples_unverified":61,"pointer_only_for_licence":10,"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."}