{"url":"/dataset/siw","name":"SiW","full_name":"Spoofing in the Wild","description_markdown":"SiW provides live and spoof videos from 165 subjects. For each subject, we have 8 live and up to 20 spoof videos, in total 4,478 videos. All videos are in 30 fps, about 15 second length, and 1080P HD resolution. The live videos are collected in four sessions with variations of distance, pose, illumination and expression. The spoof videos are collected with several attacks such as printed paper and replay.","description_withheld":null,"homepage":"https://cvlab.cse.msu.edu/siw-spoof-in-the-wild-database.html","introduced_date":"2018-03-29","introduced_date_note":null,"introduced_by":{"paper":"/paper/learning-deep-models-for-face-anti-spoofing","title":"Learning Deep Models for Face Anti-Spoofing: Binary or Auxiliary Supervision","first_author":"Yaojie Liu","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Face Anti-Spoofing","url":"/task/face-anti-spoofing","datasets_with_task":"/datasets/task/face-anti-spoofing"}],"languages":[],"variants":["SiW","SiW (Protocol 3)"],"data_loaders":[],"num_papers_in_archive":51,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/face-anti-spoofing-on-siw-protocol-3","task":"Face Anti-Spoofing","dataset_variant":"SiW (Protocol 3)","rows":7,"metrics":["ACER"],"first_row_in_archive_order":{"model":"FasTCo + OAP","paper":"/paper/online-adaptive-personalization-for-face-anti","metrics":{"ACER":"21.7"},"code_links":[{"title":"FaceOnLive/Face-Liveness-Detection-SDK-Linux","url":"https://github.com/FaceOnLive/Face-Liveness-Detection-SDK-Linux"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/online-adaptive-personalization-for-face-anti","title":"Online Adaptive Personalization for Face Anti-spoofing","date":"2022-07-04","rows_on_this_dataset":4,"code_links":1,"syntology":null},{"paper":"/paper/on-improving-temporal-consistency-for-online","title":"On Improving Temporal Consistency for Online Face Liveness Detection","date":"2020-06-11","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/searching-central-difference-convolutional","title":"Searching Central Difference Convolutional Networks for Face Anti-Spoofing","date":"2020-03-09","rows_on_this_dataset":1,"code_links":5,"syntology":null},{"paper":"/paper/190409290","title":"FeatherNets: Convolutional Neural Networks as Light as Feather for Face Anti-spoofing","date":"2019-04-22","rows_on_this_dataset":1,"code_links":3,"syntology":null}],"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."}