{"url":"/dataset/gmot-40","name":"GMOT-40","full_name":"Generic Multiple Object Tracking (GMOT)","description_markdown":"GMOT-40 is the first public dense dataset for Generic Multiple Object Tracking (GMOT). It contains 40 carefully annotated sequences evenly distributed among 10 object categories. Beyond the data, a challenging protocal, one-shot GMOT, is adopted and a series of baseline algorithms is introduced. GMOT-40 is featured in\r\n\r\nDense objects. Over 80 objects of the same class could appear in one frame.\r\nHigh-quality label. Manual annotation with careful inspection in each frame.\r\nDiversity in target. Large variability between classes and within the sequences of the same class.\r\nReal world challenges. Occlusion, target enter/exiting, motion blur, deformation and so on.\r\nChallenging protocol. One-shot GMOT protocol is adopted for evaluation.\r\nNew baselines. A series of baseline methods for one-shot GMOT task is introduced.","description_withheld":null,"homepage":"https://spritea.github.io/GMOT40/","introduced_date":"2023-08-25","introduced_date_note":null,"introduced_by":{"paper":"/paper/gmot-40-a-benchmark-for-generic-multiple","title":"GMOT-40: A Benchmark for Generic Multiple Object Tracking","first_author":"Hexin Bai","url":null},"license":null,"modalities":[],"tasks":[{"name":"Object Detection","url":"/task/object-detection","datasets_with_task":"/datasets/task/object-detection"},{"name":"Multi-Object Tracking","url":"/task/multi-object-tracking","datasets_with_task":"/datasets/task/multi-object-tracking"},{"name":"Multiple Object Tracking","url":"/task/multiple-object-tracking","datasets_with_task":"/datasets/task/multiple-object-tracking"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["GMOT-40"],"data_loaders":[],"num_papers_in_archive":12,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/multiple-object-tracking-on-gmot-40","task":"Multiple Object Tracking","dataset_variant":"GMOT-40","rows":1,"metrics":["HOTA","IDF1","MOTA"],"first_row_in_archive_order":{"model":"MAC-SORT","paper":"/paper/tp-gmot-tracking-generic-multiple-object-by","metrics":{"HOTA":"58.58","IDF1":"71.7","MOTA":"67.77"},"code_links":[{"title":"Fsoft-AIC/TP-GMOT","url":"https://github.com/Fsoft-AIC/TP-GMOT"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/object-detection-on-gmot-40","task":"Object Detection","dataset_variant":"GMOT-40","rows":1,"metrics":["mAP@0.5"],"first_row_in_archive_order":{"model":"iGDINO MAC-SORT","paper":"/paper/tp-gmot-tracking-generic-multiple-object-by","metrics":{"mAP@0.5":"72.7"},"code_links":[{"title":"Fsoft-AIC/TP-GMOT","url":"https://github.com/Fsoft-AIC/TP-GMOT"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/tp-gmot-tracking-generic-multiple-object-by","title":"TP-GMOT: Tracking Generic Multiple Object by Textual Prompt with Motion-Appearance Cost (MAC) SORT","date":"2024-09-04","rows_on_this_dataset":2,"code_links":1,"syntology":null}],"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."}