{"url":"/dataset/color-feret","name":"Color FERET","full_name":"Color FERET","description_markdown":"The color FERET database is a dataset for face recognition. It contains 11,338 color images of size 512×768 pixels captured in a semi-controlled environment with 13 different poses from 994 subjects.\r\n\r\nSource: [A Comprehensive Analysis of Deep Learning Based Representation for Face Recognition](https://arxiv.org/abs/1606.02894)\r\nImage Source: [https://www.researchgate.net/figure/Sample-results-taken-from-Color-FERET-data-set-testing-using-LBP-algorithm_fig4_308836179](https://www.researchgate.net/figure/Sample-results-taken-from-Color-FERET-data-set-testing-using-LBP-algorithm_fig4_308836179)","description_withheld":null,"homepage":"https://catalog.data.gov/dataset/color-feret-database","introduced_date":"1997-01-01","introduced_date_note":null,"introduced_by":{"paper":null,"title":"The FERET Evaluation Methodology for Face-Recognition Algorithms","first_author":null,"url":"https://doi.org/10.1109/CVPR.1997.609311"},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Face Recognition","url":"/task/face-recognition","datasets_with_task":"/datasets/task/face-recognition"},{"name":"Face Quality Assessement","url":"/task/face-quality-assessement","datasets_with_task":"/datasets/task/face-quality-assessement"}],"languages":[],"variants":["Color FERET (Online Open Set)","Color FERET"],"data_loaders":[],"num_papers_in_archive":36,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/face-recognition-on-color-feret","task":"Face Recognition","dataset_variant":"Color FERET","rows":4,"metrics":["FNMR [%] @ 10-3 FMR","5-class test accuracy"],"first_row_in_archive_order":{"model":"PIC - QMagFace","paper":"/paper/pic-score-probabilistic-interpretable","metrics":{"FNMR [%] @ 10-3 FMR":"3.24"},"code_links":[{"title":"Faceplugin-ltd/FaceRecognition-Android","url":"https://github.com/Faceplugin-ltd/FaceRecognition-Android"},{"title":"FaceOnLive/Face-Recognition-SDK-Android","url":"https://github.com/FaceOnLive/Face-Recognition-SDK-Android"},{"title":"pterhoer/optimalmatchingconfidence","url":"https://github.com/pterhoer/optimalmatchingconfidence"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/face-recognition-on-color-feret-online-open","task":"Face Recognition","dataset_variant":"Color FERET (Online Open Set)","rows":2,"metrics":["Average Accuracy (10 times)"],"first_row_in_archive_order":{"model":"FaceNet+Adaptive Threshold","paper":"/paper/data-specific-adaptive-threshold-for-face","metrics":{"Average Accuracy (10 times)":"83.79"},"code_links":[{"title":"Faceplugin-ltd/FaceRecognition-Android","url":"https://github.com/Faceplugin-ltd/FaceRecognition-Android"},{"title":"ivclab/Online-Face-Recognition-and-Authentication","url":"https://github.com/ivclab/Online-Face-Recognition-and-Authentication"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/face-quality-assessement-on-color-feret","task":"Face Quality Assessement","dataset_variant":"Color FERET","rows":1,"metrics":["Pearson Correlation"],"first_row_in_archive_order":{"model":"monet","paper":"/paper/an-efficient-method-for-face-quality","metrics":{"Pearson Correlation":"0.686"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/identiface-a-vgg-based-multimodal-facial","title":"IdentiFace : A VGG Based Multimodal Facial Biometric System","date":"2024-01-02","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/pic-score-probabilistic-interpretable","title":"PIC-Score: Probabilistic Interpretable Comparison Score for Optimal Matching Confidence in Single- and Multi-Biometric (Face) Recognition","date":"2022-11-22","rows_on_this_dataset":3,"code_links":3,"syntology":null},{"paper":"/paper/an-efficient-method-for-face-quality","title":"An Efficient Method for Face Quality Assessment on the Edge","date":"2022-07-19","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/data-specific-adaptive-threshold-for-face","title":"Data-specific Adaptive Threshold for Face Recognition and Authentication","date":"2018-10-26","rows_on_this_dataset":2,"code_links":2,"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."}