JRDB-Pose
Introduced by Vendrow et al. in JRDB-Pose: A Large-scale Dataset for Multi-Person Pose Estimation and Tracking
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 TrackingPapers
| Paper | Code | Results | Date | Stars |
|---|
Dataset Loaders
No data loaders found. You can
submit your data loader here.
No data loaders found. You can
submit your data loader here.
