{"url":"/dataset/icvl-hand-posture","name":"ICVL Hand Posture","full_name":"ICVL Hand Posture Dataset","description_markdown":"The ICVL dataset is a hand pose estimation dataset that consists of 330K training frames and 2 testing sequences with each 800 frames. The dataset is collected from 10 different subjects with 16 hand joint annotations for each frame.\n\nSource: [AWR: Adaptive Weighting Regression for 3D Hand Pose Estimation](https://arxiv.org/abs/2007.09590)\nImage Source: [Tang et al.; Latent Regression Forest: Structured Estimation of 3D Hand Poses](https://alykhantejani.github.io/pdfs/LRF_PAMI_DRAFT.pdf)","description_withheld":null,"homepage":"https://labicvl.github.io/hand.html","introduced_date":"2014-01-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/latent-regression-forest-structured","title":"Latent Regression Forest: Structured Estimation of 3D Articulated Hand Posture","first_author":"Danhang Tang","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"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":"3D Hand Pose Estimation","url":"/task/3d-hand-pose-estimation","datasets_with_task":"/datasets/task/3d-hand-pose-estimation"}],"languages":[],"variants":["ICVL Hand Posture"],"data_loaders":[{"repo":"https://github.com/zhangboshen/A2J","url":"https://github.com/zhangboshen/A2J","frameworks":["pytorch"]}],"num_papers_in_archive":3,"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."}