{"url":"/dataset/jrdb-pose","name":"JRDB-Pose","full_name":null,"description_markdown":"**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.\r\n\r\nSource: [JRDB-Pose: A Large-scale Dataset for Multi-Person Pose Estimation and\r\nTracking](https://arxiv.org/pdf/2210.11940v1.pdf)\r\n\r\nImage Source: [https://arxiv.org/pdf/2210.11940v1.pdf](https://arxiv.org/pdf/2210.11940v1.pdf)","description_withheld":null,"homepage":"https://jrdb.erc.monash.edu/dataset/pose","introduced_date":"2022-10-20","introduced_date_note":null,"introduced_by":{"paper":"/paper/jrdb-pose-a-large-scale-dataset-for-multi","title":"JRDB-Pose: A Large-scale Dataset for Multi-Person Pose Estimation and Tracking","first_author":"Edward Vendrow","url":null},"license":{"name":"Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License.","url":"https://creativecommons.org/licenses/by-nc-sa/3.0/"},"modalities":[{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[{"name":"2D Human Pose Estimation","url":"/task/2d-human-pose-estimation","datasets_with_task":"/datasets/task/2d-human-pose-estimation"}],"languages":[],"variants":["JRDB-Pose"],"data_loaders":[],"num_papers_in_archive":2,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"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."}