Datasets › JRDB-Pose
JRDB-Pose
JRDB-Pose is a large-scale dataset and benchmark for multi-person pose estimation and tracking using videos captured from a social navigation robot. The dataset contains challenge scenes with crowded indoor and outdoor locations and a diverse range of scales and occlusion types. It provides human pose annotations with per-keypoint occlusion labels and tack IDs consistent across the scene. These annotations include 600,000 human body pose annotations and 600,000 head bounding box annotations.
Source: JRDB-Pose: A Large-scale Dataset for Multi-Person Pose Estimation and Tracking
Image Source: https://arxiv.org/pdf/2210.11940v1.pdf
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 2 papers for it but never published that list.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License.
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- JRDB-Pose
1 variant name, as the archive lists them.
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