{"url":"/dataset/wildtrack","name":"Wildtrack","full_name":null,"description_markdown":"Wildtrack is a large-scale and high-resolution dataset. It has been captured with seven static cameras in a public open area, and unscripted dense groups of pedestrians standing and walking. Together with the camera frames, we provide an accurate joint (extrinsic and intrinsic) calibration, as well as 7 series of 400 annotated\r\nframes for detection at a rate of 2 frames per second. This results in over 40 000 bounding boxes delimiting every person present in the area of interest, for a total of more than\r\n300 individuals.","description_withheld":null,"homepage":"https://www.epfl.ch/labs/cvlab/data/data-wildtrack/","introduced_date":"2018-06-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/wildtrack-a-multi-camera-hd-dataset-for-dense","title":"WILDTRACK: A Multi-Camera HD Dataset for Dense Unscripted Pedestrian Detection","first_author":"Tatjana Chavdarova","url":null},"license":null,"modalities":[],"tasks":[{"name":"Multi-Object Tracking","url":"/task/multi-object-tracking","datasets_with_task":"/datasets/task/multi-object-tracking"},{"name":"Multiview Detection","url":"/task/multiview-detection","datasets_with_task":"/datasets/task/multiview-detection"}],"languages":[],"variants":["Wildtrack"],"data_loaders":[],"num_papers_in_archive":65,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/multiview-detection-on-wildtrack","task":"Multiview Detection","dataset_variant":"Wildtrack","rows":10,"metrics":["MODA","MODP","Recall"],"first_row_in_archive_order":{"model":"MVFP","paper":"/paper/enhancing-multi-view-pedestrian-detection","metrics":{"MODA":"94.1","MODP":"78.8","Recall":"97.7"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/multi-object-tracking-on-wildtrack","task":"Multi-Object Tracking","dataset_variant":"Wildtrack","rows":9,"metrics":["IDF1","MOTA"],"first_row_in_archive_order":{"model":"MCBLT","paper":"/paper/bev-sushi-multi-target-multi-camera-3d","metrics":{"IDF1":"95.6","MOTA":"92.6"},"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/mahalanobis-distance-based-multi-view-optimal","title":"Mahalanobis Distance-based Multi-view Optimal Transport for Multi-view Crowd Localization","date":"2024-09-03","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/lifting-multi-view-detection-and-tracking-to","title":"Lifting Multi-View Detection and Tracking to the Bird's Eye View","date":"2024-03-19","rows_on_this_dataset":2,"code_links":1,"syntology":null},{"paper":"/paper/enhancing-multi-view-pedestrian-detection","title":"Enhancing Multi-View Pedestrian Detection Through Generalized 3D Feature Pulling","date":"2023-12-20","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/earlybird-early-fusion-for-multi-view","title":"EarlyBird: Early-Fusion for Multi-View Tracking in the Bird's Eye View","date":"2023-10-20","rows_on_this_dataset":2,"code_links":1,"syntology":null},{"paper":"/paper/rest-a-reconfigurable-spatial-temporal-graph","title":"ReST: A Reconfigurable Spatial-Temporal Graph Model for Multi-Camera Multi-Object Tracking","date":"2023-08-25","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/multi-view-tracking-using-weakly-supervised","title":"Multi-view Tracking Using Weakly Supervised Human Motion Prediction","date":"2022-10-19","rows_on_this_dataset":2,"code_links":1,"syntology":null},{"paper":"/paper/3d-random-occlusion-and-multi-layer","title":"3D Random Occlusion and Multi-Layer Projection for Deep Multi-Camera Pedestrian Localization","date":"2022-07-22","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-25T09:33:49+00:00","samples_harvested":8,"samples_ran":2,"samples_unverified":6,"pointer_only_for_licence":8,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/multiview-detection-with-shadow-transformer","title":"Multiview Detection with Shadow Transformer (and View-Coherent Data Augmentation)","date":"2021-08-12","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/stacked-homography-transformations-for-multi","title":"Stacked Homography Transformations for Multi-View Pedestrian Detection","date":"2021-01-01","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/multiview-detection-with-feature-perspective","title":"Multiview Detection with Feature Perspective Transformation","date":"2020-07-14","rows_on_this_dataset":1,"code_links":3,"syntology":{"read_at":"2026-09-25T09:33:49+00:00","samples_harvested":1,"samples_ran":0,"samples_unverified":1,"pointer_only_for_licence":1,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/real-time-3d-deep-multi-camera-tracking","title":"Real-time 3D Deep Multi-Camera Tracking","date":"2020-03-26","rows_on_this_dataset":2,"code_links":0,"syntology":null},{"paper":"/paper/a-bayesian-3d-multi-view-multi-object","title":"A Bayesian Filter for Multi-view 3D Multi-object Tracking with Occlusion Handling","date":"2020-01-13","rows_on_this_dataset":2,"code_links":0,"syntology":null},{"paper":"/paper/deep-occlusion-reasoning-for-multi-camera","title":"Deep Occlusion Reasoning for Multi-Camera Multi-Target Detection","date":"2017-04-19","rows_on_this_dataset":1,"code_links":2,"syntology":null}],"syntology_totals":{"read_at":"2026-09-25T09:33:49+00:00","papers_with_samples":2,"samples_harvested":9,"samples_ran":2,"samples_unverified":7,"pointer_only_for_licence":9,"papers_with_no_sample_that_ran":1,"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."}