{"url":"/dataset/3dmad","name":"3DMAD","full_name":"3D Mask Attack Dataset","description_markdown":"The 3D Mask Attack Database (3DMAD) is a biometric (face) spoofing database. It currently contains 76500 frames of 17 persons, recorded using Kinect for both real-access and spoofing attacks. Each frame consists of:\r\n\r\n- a depth image (640x480 pixels – 1x11 bits)\r\n- the corresponding RGB image (640x480 pixels – 3x8 bits)\r\n- manually annotated eye positions (with respect to the RGB image).\r\n\r\nSource: [3D Mask Attack Dataset](https://www.idiap.ch/dataset/3dmad)","description_withheld":null,"homepage":"https://www.idiap.ch/dataset/3dmad","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["3DMAD"],"data_loaders":[],"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."}