{"url":"/dataset/ski-pose-ptz-camera","name":"Ski-Pose PTZ-Camera","full_name":null,"description_markdown":"This multi-view pant-tilt-zoom-camera (PTZ) dataset features competitive alpine skiers performing giant slalom runs. It provides labels for the skiers’ 3D poses in each frame, their projected 2D pose in all 20k images, and accurate per-frame calibration of the PTZ cameras. The dataset was collected by Spörri and Colleagues within his Habilitation at the Department of Sport Science and Kinesiology of the University of Salzburg [Spörri16], and was previously used as a reference in different methodological studies [Gilgien13, Gilgien14, Gilgien 15, Fasel16, Fasel18, Rhodin18]. Moreover, upon request the dataset would be available to interested researchers for further methodological-orientated research purposes.","description_withheld":null,"homepage":"https://www.epfl.ch/labs/cvlab/data/ski-poseptz-dataset/","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/learning-monocular-3d-human-pose-estimation","title":"Learning Monocular 3D Human Pose Estimation from Multi-view Images","first_author":"Helge Rhodin","url":null},"license":null,"modalities":[],"tasks":[{"name":"3D Human Pose Estimation","url":"/task/3d-human-pose-estimation","datasets_with_task":"/datasets/task/3d-human-pose-estimation"}],"languages":[],"variants":["SkiPose","Ski-Pose PTZ-Camera"],"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/3d-human-pose-estimation-on-skipose","task":"3D Human Pose Estimation","dataset_variant":"SkiPose","rows":3,"metrics":["MPJPE","P-MPJPE","CPS","PCK"],"first_row_in_archive_order":{"model":"MetaPose (S1+S2)","paper":"/paper/metapose-fast-3d-pose-from-multiple-views","metrics":{"MPJPE":"53","P-MPJPE":"42"},"code_links":[{"title":"google-research/google-research","url":"https://github.com/google-research/google-research/tree/master/metapose"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/metapose-fast-3d-pose-from-multiple-views","title":"MetaPose: Fast 3D Pose from Multiple Views without 3D Supervision","date":"2021-08-10","rows_on_this_dataset":2,"code_links":1,"syntology":null},{"paper":"/paper/canonpose-self-supervised-monocular-3d-human","title":"CanonPose: Self-Supervised Monocular 3D Human Pose Estimation in the Wild","date":"2020-11-30","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."}