{"url":"/dataset/rhd","name":"RHD","full_name":"Rendered Hand Pose","description_markdown":"**Rendered Hand Pose (RHD)** is a dataset for hand pose estimation. It provides segmentation maps with 33 classes: three for each finger, palm, person, and background. The 3D kinematic model of the hand provides 21 keypoints per hand: 4 keypoints per finger and one keypoint close to the wrist.","description_withheld":null,"homepage":"https://lmb.informatik.uni-freiburg.de/resources/datasets/RenderedHandposeDataset.en.html","introduced_date":"2017-05-03","introduced_date_note":null,"introduced_by":{"paper":"/paper/learning-to-estimate-3d-hand-pose-from-single","title":"Learning to Estimate 3D Hand Pose from Single RGB Images","first_author":"Christian Zimmermann","url":null},"license":null,"modalities":[],"tasks":[{"name":"Hand Pose Estimation","url":"/task/hand-pose-estimation","datasets_with_task":"/datasets/task/hand-pose-estimation"}],"languages":[],"variants":["RHD"],"data_loaders":[],"num_papers_in_archive":75,"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."}