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