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Pose Tracking datasets
archive 2025-07-28
14 datasets carry the task tag "Pose Tracking" (the task itself: Pose Tracking), ordered by the archive's paper count. Page 1 of 1: 14 shown of 14. Facet routes are this site's own (the archive records the tag string, not a page).
The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.
Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets
Pose Tracking datasets 1–14 of 14
Description: 10,000 People - Human Pose Recognition Data.
265 papers · 1 benchmark
The PoseTrack dataset is a large-scale benchmark for multi-person pose estimation and tracking in videos.
103 papers · 5 benchmarks
A large-scale 4D egocentric dataset with rich annotations, to catalyze the research of category-level human-object interaction.
23 papers · 0 benchmarks
A new dataset with significant occlusions related to object manipulation.
6 papers · 0 benchmarks
VBR (VBR: A Vision Benchmark in Rome)
This dataset presents a vision and perception research dataset collected in Rome, featuring RGB data, 3D point clouds, IMU, and GPS data.
3 papers · 0 benchmarks
Estimating camera motion in deformable scenes poses a complex and open research challenge.
2 papers · 1 benchmark
This dataset comprehends the 3D building information model (in IFC and Revit formats), manually elaborated based on the terrestrial laser scanner of the sequence 2 of ConSLAM, and the refined ground truth (GT) poses (in TUM format) of…
2 papers · 0 benchmarks
Data used for the paper SparsePoser: Real-time Full-body Motion Reconstruction from Sparse Data It contains over 1GB of high-quality motion capture data recorded with an Xsens Awinda system while using a variety of VR applications in Meta…
2 papers · 0 benchmarks
DynOPETs is a real-world RGB-D dataset designed for object pose estimation and tracking in dynamic scenes with moving cameras.
1 paper · 0 benchmarks
ConSLAM (Construction Dataset for SLAM)
ConSLAM is a real-world dataset collected periodically on a construction site to measure the accuracy of mobile scanners' SLAM algorithms.
1 paper · 0 benchmarks
We introduce Occluded PoseTrack-ReID (or simply Occ-PTrack), a new ReID dataset we built out of the annotation available with PoseTrack21, a popular video benchmark for multi-person pose tracking, that features keypoints and cross-video…
1 paper · 1 benchmark
Data used for the paper Combining Motion Matching and Orientation Prediction to Animate Avatars for Consumer-Grade VR Devices.
1 paper · 0 benchmarks
VR-Folding contains garment meshes of 4 categories from CLOTH3D dataset, namely Shirt, Pants, Top and Skirt.
1 paper · 0 benchmarks
InfiniteRep is a synthetic, open-source dataset for fitness and physical therapy (PT) applications.
0 papers · 0 benchmarks
Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.