{"url":"/dataset/pfn-vt","name":"PFN-VT","full_name":"PFN Visuo-Tactile Dataset","description_markdown":"**PFN-VT** is a dataset for the estimation of tactile properties from vision, such as slipperiness or roughness. The dataset is collected with a webcam and uSkin tactile sensor mounted on the end-effector of a Sawyer robot, which strokes the surfaces of 25 different materials.","description_withheld":null,"homepage":"https://github.com/pfnet-research/Deep_visuo-tactile_learning_ICRA2019","introduced_date":"2018-03-09","introduced_date_note":null,"introduced_by":{"paper":"/paper/180303435","title":"Deep Visuo-Tactile Learning: Estimation of Tactile Properties from Images","first_author":null,"url":null},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[],"languages":[],"variants":["PFN-VT"],"data_loaders":[{"repo":"https://github.com/pfnet-research/Deep_visuo-tactile_learning_ICRA2019","url":"https://github.com/pfnet-research/Deep_visuo-tactile_learning_ICRA2019","frameworks":[]}],"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."}