{"url":"/dataset/orl","name":"ORL","full_name":"Our Database of Faces","description_markdown":"The **ORL** Database of Faces contains 400 images from 40 distinct subjects. For some subjects, the images were taken at different times, varying the lighting, facial expressions (open / closed eyes, smiling / not smiling) and facial details (glasses / no glasses). All the images were taken against a dark homogeneous background with the subjects in an upright, frontal position (with tolerance for some side movement). The size of each image is 92x112 pixels, with 256 grey levels per pixel.\r\n\r\nSource: [https://cam-orl.co.uk/facedatabase.html](https://cam-orl.co.uk/facedatabase.html)\r\nDownload dataset from Kaggle: [https://www.kaggle.com/datasets/kasikrit/att-database-of-faces](https://www.kaggle.com/datasets/kasikrit/att-database-of-faces)\r\nImage Source: [https://www.researchgate.net/publication/221786184_PCA_and_LDA_Based_Neural_Networks_for_Human_Face_Recognition](https://www.researchgate.net/publication/221786184_PCA_and_LDA_Based_Neural_Networks_for_Human_Face_Recognition)","description_withheld":null,"homepage":"https://cam-orl.co.uk/facedatabase.html","introduced_date":"1994-01-01","introduced_date_note":null,"introduced_by":{"paper":null,"title":"Parameterisation of a stochastic model for human face identification","first_author":null,"url":"https://doi.org/10.1109/ACV.1994.341300"},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Multi-view Subspace Clustering","url":"/task/multi-view-subspace-clustering","datasets_with_task":"/datasets/task/multi-view-subspace-clustering"}],"languages":[],"variants":["ORL"],"data_loaders":[],"num_papers_in_archive":129,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/multi-view-subspace-clustering-on-orl","task":"Multi-view Subspace Clustering","dataset_variant":"ORL","rows":3,"metrics":["Accuracy"],"first_row_in_archive_order":{"model":"MvDSCN","paper":"/paper/multi-view-deep-subspace-clustering-networks","metrics":{"Accuracy":"0.870"},"code_links":[{"title":"huybery/MvDSCN","url":"https://github.com/huybery/MvDSCN"},{"title":"yxjdarren/mvdscn","url":"https://github.com/yxjdarren/mvdscn"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/multi-view-deep-subspace-clustering-networks","title":"Multi-view Deep Subspace Clustering Networks","date":"2019-08-06","rows_on_this_dataset":1,"code_links":2,"syntology":null},{"paper":"/paper/d2-decentralized-training-over-decentralized","title":"$D^2$: Decentralized Training over Decentralized Data","date":"2018-07-01","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/deep-multimodal-subspace-clustering-networks","title":"Deep Multimodal Subspace Clustering Networks","date":"2018-04-17","rows_on_this_dataset":1,"code_links":1,"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."}