{"url":"/dataset/handnet","name":"HandNet","full_name":null,"description_markdown":"The HandNet dataset contains depth images of 10 participants' hands non-rigidly deforming in front of a RealSense RGB-D camera. The annotations are generated by a magnetic annotation technique. 6D pose is available for the center of the hand as well as the five fingertips (i.e. position and orientation of each).\r\n\r\nSource: [Rule Of Thumb: Deep derotation for improved fingertip detection](/paper/rule-of-thumb-deep-derotation-for-improved)","description_withheld":null,"homepage":"http://www.cs.technion.ac.il/~twerd/HandNet/","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/rule-of-thumb-deep-derotation-for-improved","title":"Rule Of Thumb: Deep derotation for improved fingertip detection","first_author":"Aaron Wetzler","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"RGB-D","url":"/datasets/modality/rgb-d"}],"tasks":[{"name":"Pose Estimation","url":"/task/pose-estimation","datasets_with_task":"/datasets/task/pose-estimation"},{"name":"Hand Pose Estimation","url":"/task/hand-pose-estimation","datasets_with_task":"/datasets/task/hand-pose-estimation"},{"name":"Hand Segmentation","url":"/task/hand-segmentation","datasets_with_task":"/datasets/task/hand-segmentation"}],"languages":[],"variants":["HandNet"],"data_loaders":[],"num_papers_in_archive":7,"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."}