{"url":"/dataset/omni-mot","name":"Omni-MOT","full_name":null,"description_markdown":"The Omni-MOT is realistic CARLA based large-scale dataset with over 14M frames for multiple vehicle tracking . The dataset comprises 14M+ frames, 250K tracks, 110 million bounding boxes, three weather conditions, three crowd levels and three camera views in five simulated towns.\r\n\r\nSource: [Simultaneous Detection and Tracking with Motion Modelling for Multiple Object Tracking](/paper/simultaneous-detection-and-tracking-with)","description_withheld":null,"homepage":"https://github.com/shijieS/OmniMOTDataset","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/simultaneous-detection-and-tracking-with","title":"Simultaneous Detection and Tracking with Motion Modelling for Multiple Object Tracking","first_author":"Shi-Jie Sun","url":null},"license":{"name":"MIT","url":"https://github.com/shijieS/OmniMOTDataset#copyright"},"modalities":[],"tasks":[{"name":"Object Tracking","url":"/task/object-tracking","datasets_with_task":"/datasets/task/object-tracking"},{"name":"Multiple Object Tracking","url":"/task/multiple-object-tracking","datasets_with_task":"/datasets/task/multiple-object-tracking"}],"languages":[],"variants":["Omni-MOT"],"data_loaders":[{"repo":"https://github.com/shijieS/OmniMOTDataset","url":"https://github.com/shijieS/OmniMOTDataset","frameworks":[]}],"num_papers_in_archive":1,"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":"2026-09-24T18:15:14+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."}