{"url":"/dataset/replay-attack","name":"Replay-Attack","full_name":null,"description_markdown":"The **Replay-Attack** Database for face spoofing consists of 1300 video clips of photo and video attack attempts to 50 clients, under different lighting conditions. All videos are generated by either having a (real) client trying to access a laptop through a built-in webcam or by displaying a photo or a video recording of the same client for at least 9 seconds.\r\n\r\nSource: [https://www.idiap.ch/dataset/replayattack](https://www.idiap.ch/dataset/replayattack)\r\nImage Source: [https://www.researchgate.net/figure/Sample-images-from-the-PRINT-ATTACK-1-and-REPLAY-ATTACK-12-databases-Top-and-bottom_fig1_330400888](https://www.researchgate.net/figure/Sample-images-from-the-PRINT-ATTACK-1-and-REPLAY-ATTACK-12-databases-Top-and-bottom_fig1_330400888)","description_withheld":null,"homepage":"https://www.idiap.ch/dataset/replayattack","introduced_date":"2012-01-01","introduced_date_note":null,"introduced_by":{"paper":null,"title":"On the effectiveness of local binary patterns in face anti-spoofing","first_author":null,"url":"https://dl.gi.de/20.500.12116/18295"},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[{"name":"Face Anti-Spoofing","url":"/task/face-anti-spoofing","datasets_with_task":"/datasets/task/face-anti-spoofing"}],"languages":[],"variants":["Replay-Attack"],"data_loaders":[{"repo":"https://github.com/SoftwareGift/FeatherNets_Face-Anti-spoofing-Attack-Detection-Challenge-CVPR2019","url":"https://paperswithcode.com/dataset/replay-attack","frameworks":["pytorch"]}],"num_papers_in_archive":133,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/face-anti-spoofing-on-replay-attack","task":"Face Anti-Spoofing","dataset_variant":"Replay-Attack","rows":4,"metrics":["EER","HTER"],"first_row_in_archive_order":{"model":"Entry-V2","paper":"/paper/generalizable-method-for-face-anti-spoofing","metrics":{"EER":"0","HTER":"0"},"code_links":[{"title":"FaceOnLive/Face-Liveness-Detection-SDK-Linux","url":"https://github.com/FaceOnLive/Face-Liveness-Detection-SDK-Linux"},{"title":"Recognito-Vision/Android-FaceRecognition-FaceLivenessDetection","url":"https://github.com/Recognito-Vision/Android-FaceRecognition-FaceLivenessDetection"},{"title":"xix-ai/antispoofing","url":"https://github.com/xix-ai/antispoofing"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/generalizable-method-for-face-anti-spoofing","title":"Generalizable Method for Face Anti-Spoofing with Semi-Supervised Learning","date":"2022-06-13","rows_on_this_dataset":1,"code_links":3,"syntology":null},{"paper":"/paper/improving-face-anti-spoofing-by-3d-virtual","title":"Improving Face Anti-Spoofing by 3D Virtual Synthesis","date":"2019-01-02","rows_on_this_dataset":1,"code_links":3,"syntology":null},{"paper":"/paper/face-anti-spoofing-based-on-color-texture","title":"face anti-spoofing based on color texture analysis","date":"2015-11-19","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/learn-convolutional-neural-network-for-face","title":"Learn Convolutional Neural Network for Face Anti-Spoofing","date":"2014-08-24","rows_on_this_dataset":1,"code_links":4,"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."}