{"url":"/dataset/jta","name":"JTA","full_name":"Joint Track Auto","description_markdown":"JTA is a dataset for people tracking in urban scenarios by exploiting a photorealistic videogame. It is up to now the vastest dataset (about 500.000 frames, almost 10 million body poses) of human body parts for people tracking in urban scenarios. \r\n\r\nSource: [Learning to Detect and Track Visible and Occluded Body Joints in a Virtual World](/paper/learning-to-detect-and-track-visible-and)","description_withheld":null,"homepage":"http://imagelab.ing.unimore.it/jta","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/learning-to-detect-and-track-visible-and","title":"Learning to Detect and Track Visible and Occluded Body Joints in a Virtual World","first_author":"Matteo Fabbri","url":null},"license":null,"modalities":[{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[{"name":"Object Detection","url":"/task/object-detection","datasets_with_task":"/datasets/task/object-detection"},{"name":"Pose Estimation","url":"/task/pose-estimation","datasets_with_task":"/datasets/task/pose-estimation"},{"name":"3D Human Pose Estimation","url":"/task/3d-human-pose-estimation","datasets_with_task":"/datasets/task/3d-human-pose-estimation"}],"languages":[],"variants":["JTA"],"data_loaders":[],"num_papers_in_archive":36,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/3d-human-pose-estimation-on-jta","task":"3D Human Pose Estimation","dataset_variant":"JTA","rows":1,"metrics":["F1(t=0.4m)","F1(t=0.8m)","F1(t=1.2m)"],"first_row_in_archive_order":{"model":"Dual network","paper":"/paper/dual-networks-based-3d-multi-person-pose","metrics":{"F1(t=0.4m)":"58.15","F1(t=0.8m)":"69.32","F1(t=1.2m)":"74.19"},"code_links":[{"title":"3dpose/3D-Multi-Person-Pose","url":"https://github.com/3dpose/3D-Multi-Person-Pose"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/dual-networks-based-3d-multi-person-pose","title":"Dual networks based 3D Multi-Person Pose Estimation from Monocular Video","date":"2022-05-02","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"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."}