{"url":"/dataset/2024-ai-city-challenge-mtmc-people-tracking","name":"2024 AI City Challenge","full_name":null,"description_markdown":"The AI City Challenge, hosted at CVPR 2024, focuses on harnessing AI to enhance operational efficiency in physical settings such as retail and warehouse environments, and Intelligent Traffic Systems (ITS). It aims to utilize AI for actionable insights from sensor data, like camera feeds, to improve traffic safety and transportation outcomes. This year, the challenge spotlights two key areas with significant potential: retail business and ITS.","description_withheld":null,"homepage":"https://www.aicitychallenge.org/","introduced_date":"2024-04-15","introduced_date_note":null,"introduced_by":{"paper":"/paper/the-8th-ai-city-challenge","title":"The 8th AI City Challenge","first_author":"Shuo Wang","url":null},"license":null,"modalities":[{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[{"name":"2D Object Detection","url":"/task/2d-object-detection","datasets_with_task":"/datasets/task/2d-object-detection"},{"name":"Object Detection","url":"/task/object-detection","datasets_with_task":"/datasets/task/object-detection"},{"name":"Action Recognition","url":"/task/action-recognition-in-videos","datasets_with_task":"/datasets/task/action-recognition-in-videos"},{"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"},{"name":"Video Captioning","url":"/task/video-captioning","datasets_with_task":"/datasets/task/video-captioning"},{"name":"Multiple People Tracking","url":"/task/multiple-people-tracking","datasets_with_task":"/datasets/task/multiple-people-tracking"},{"name":"Cross-view Referring Multi-Object Tracking","url":"/task/cross-view-referring-multi-object-tracking","datasets_with_task":"/datasets/task/cross-view-referring-multi-object-tracking"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["2024 AI City Challenge"],"data_loaders":[],"num_papers_in_archive":10,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/multi-object-tracking-on-2024-ai-city","task":"Multi-Object Tracking","dataset_variant":"2024 AI City Challenge","rows":8,"metrics":["HOTA","DetA","AssA","LocA"],"first_row_in_archive_order":{"model":"MCBLT","paper":"/paper/bev-sushi-multi-target-multi-camera-3d","metrics":{"AssA":"76.19","DetA":"86.94","HOTA":"81.22","LocA":"95.67"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/bev-sushi-multi-target-multi-camera-3d","title":"MCBLT: Multi-Camera Multi-Object 3D Tracking in Long Videos","date":"2024-12-01","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/overlap-suppression-clustering-for-offline","title":"Overlap Suppression Clustering for Offline Multi-Camera People Tracking","date":"2024-06-17","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/online-multi-camera-people-tracking-with","title":"Online Multi-camera People Tracking with Spatial-temporal Mechanism and Anchor-feature Hierarchical Clustering","date":"2024-06-17","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/ocmctrack-online-multi-target-multi-camera","title":"OCMCTrack: Online Multi-Target Multi-Camera Tracking with Corrective Matching Cascade","date":"2024-06-17","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/efficient-online-multi-camera-tracking-with","title":"Efficient online multi-camera tracking with memory-efficient accumulated appearance features and trajectory validation","date":"2024-06-17","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/cluster-self-refinement-for-enhanced-online","title":"Cluster Self-Refinement for Enhanced Online Multi-Camera People Tracking","date":"2024-06-17","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/an-online-approach-and-evaluation-method-for","title":"An Online Approach and Evaluation Method for Tracking People Across Cameras in Extremely Long Video Sequence","date":"2024-06-17","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/a-robust-online-multi-camera-people-tracking","title":"A Robust Online Multi-Camera People Tracking System With Geometric Consistency and State-aware Re-ID Correction","date":"2024-06-17","rows_on_this_dataset":1,"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."}