{"url":"/dataset/hq-wmca","name":"HQ-WMCA","full_name":"High-Quality Wide Multi-Channel Attack database","description_markdown":"The High-Quality Wide Multi-Channel Attack database (HQ-WMCA) database consists of 2904 short multi-modal video recordings of both bona-fide and presentation attacks. There are 555 bonafide presentations from 51 participants and the remaining 2349 are presentation attacks. The data is recorded from several channels including color, depth, thermal, infrared (spectra), and short-wave infrared (spectra).","description_withheld":null,"homepage":"https://www.idiap.ch/dataset/hq-wmca","introduced_date":"2020-07-22","introduced_date_note":null,"introduced_by":{"paper":"/paper/deep-models-and-shortwave-infrared","title":"Deep Models and Shortwave Infrared Information to Detect Face Presentation Attacks","first_author":"Guillaume Heusch","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Videos","url":"/datasets/modality/videos"},{"name":"Hyperspectral images","url":"/datasets/modality/hyperspectral-images"},{"name":"RGB-D","url":"/datasets/modality/rgb-d"}],"tasks":[{"name":"Face Anti-Spoofing","url":"/task/face-anti-spoofing","datasets_with_task":"/datasets/task/face-anti-spoofing"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["HQ-WMCA"],"data_loaders":[],"num_papers_in_archive":9,"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."}