{"url":"/dataset/dexhand","name":"DexHand","full_name":null,"description_markdown":"Inspired by OpenAI dexterous in-hand manipulation, we collected a synthetic RGB-D dataset of a Shadow Hand robot manipulating a cube towards arbitrary goal configurations. This dataset consists of about 10000 videos, each video including 25 RGB-D frames.\r\nDexHand is challenging as the robot has 24 degrees of freedom, and there can be a significant amount of motion and occlusion between consecutive frames.","description_withheld":null,"homepage":"http://t3vip.cs.uni-freiburg.de","introduced_date":"2022-09-19","introduced_date_note":null,"introduced_by":{"paper":"/paper/t3vip-transformation-based-3d-video","title":"T3VIP: Transformation-based 3D Video Prediction","first_author":"Iman Nematollahi","url":null},"license":{"name":"MIT","url":null},"modalities":[],"tasks":[],"languages":[],"variants":["DexHand"],"data_loaders":[],"num_papers_in_archive":1,"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."}