{"url":"/dataset/mlfp","name":"MLFP","full_name":"Multispectral Latex Mask based Video Face Presentation Attack","description_markdown":"The **MLFP** dataset consists of face presentation attacks captured with seven 3D latex masks and three 2D print attacks. The dataset contains videos captured from color, thermal and infrared channels.\r\n\r\nSource: [Learning One Class Representations for Face Presentation Attack Detection using Multi-channel Convolutional Neural Networks](https://arxiv.org/abs/2007.11457)\r\nImage Source: [http://iab-rubric.org/papers/2017_cvprw_18.pdf](http://iab-rubric.org/papers/2017_cvprw_18.pdf)","description_withheld":null,"homepage":"http://iab-rubric.org/resources/mlfp.html","introduced_date":"2017-01-01","introduced_date_note":null,"introduced_by":{"paper":null,"title":"Face Presentation Attack with Latex Masks in Multispectral Videos","first_author":null,"url":"https://doi.org/10.1109/CVPRW.2017.40"},"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":["MLFP"],"data_loaders":[],"num_papers_in_archive":4,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/face-anti-spoofing-on-mlfp","task":"Face Anti-Spoofing","dataset_variant":"MLFP","rows":1,"metrics":["HTER"],"first_row_in_archive_order":{"model":"MCCNN (BCE+OCCL)-GMM","paper":"/paper/learning-one-class-representations-for-face","metrics":{"HTER":"3.4"},"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":"anjith2006/bob.paper.oneclass_mccnn_2019","url":"https://github.com/anjith2006/bob.paper.oneclass_mccnn_2019"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/learning-one-class-representations-for-face","title":"Learning One Class Representations for Face Presentation Attack Detection using Multi-channel Convolutional Neural Networks","date":"2020-07-22","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."}