{"url":"/dataset/matador","name":"Matador","full_name":"Matador: A Material Image Dataset","description_markdown":"The Matador dataset is a material image dataset with hierarchical labels. The hierarchical labels are derived from a new taxonomy. For each sample of a material, we collect a local appearance image, local surface structure LiDAR scan, global context image, and record any camera motion that takes place during the capture sequence. The dataset is intended to grow over time. To date, Matador contains 57 different material categories and a total of ~7,200 images, averaging 126 samples of intraclass variance.","description_withheld":null,"homepage":"https://cave.cs.columbia.edu/repository/Matador","introduced_date":"2025-05-28","introduced_date_note":null,"introduced_by":{"paper":"/paper/hierarchical-material-recognition-from-local","title":"Hierarchical Material Recognition from Local Appearance","first_author":"Matthew Beveridge","url":null},"license":{"name":"MIT","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"RGB-D","url":"/datasets/modality/rgb-d"},{"name":"LiDAR","url":"/datasets/modality/lidar"}],"tasks":[{"name":"Material Recognition","url":"/task/material-recognition","datasets_with_task":"/datasets/task/material-recognition"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Matador"],"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."}