{"url":"/dataset/rafd","name":"RaFD","full_name":"Radboud Faces Database","description_markdown":"The **Radboud Faces Database** (**RaFD**) is a set of pictures of 67 models (both adult and children, males and females) displaying 8 emotional expressions.\r\n\r\nSource: [http://www.socsci.ru.nl:8180/RaFD2/RaFD](http://www.socsci.ru.nl:8180/RaFD2/RaFD)\r\nImage Source: [http://www.socsci.ru.nl:8180/RaFD2/RaFD](http://www.socsci.ru.nl:8180/RaFD2/RaFD)","description_withheld":null,"homepage":"http://www.socsci.ru.nl:8180/RaFD2/RaFD","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":null,"title":"Presentation and validation of the radboud faces database","first_author":null,"url":"https://doi.org/10.1080/02699930903485076"},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Image-to-Image Translation","url":"/task/image-to-image-translation","datasets_with_task":"/datasets/task/image-to-image-translation"},{"name":"Facial Expression Recognition (FER)","url":"/task/facial-expression-recognition","datasets_with_task":"/datasets/task/facial-expression-recognition"}],"languages":[],"variants":["RaFD"],"data_loaders":[],"num_papers_in_archive":81,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/image-to-image-translation-on-rafd","task":"Image-to-Image Translation","dataset_variant":"RaFD","rows":4,"metrics":["Classification Error"],"first_row_in_archive_order":{"model":"StarGAN","paper":"/paper/stargan-unified-generative-adversarial","metrics":{"Classification Error":"2.12%"},"code_links":[{"title":"eriklindernoren/PyTorch-GAN","url":"https://github.com/eriklindernoren/PyTorch-GAN"},{"title":"yunjey/StarGAN","url":"https://github.com/yunjey/StarGAN"},{"title":"taki0112/StarGAN-Tensorflow","url":"https://github.com/taki0112/StarGAN-Tensorflow"},{"title":"mindspore-ai/models","url":"https://github.com/mindspore-ai/models/tree/master/research/cv/StarGAN"},{"title":"yaxingwang/SDIT","url":"https://github.com/yaxingwang/SDIT"},{"title":"mlandcv/MultiPathGAN","url":"https://github.com/mlandcv/MultiPathGAN"},{"title":"dipjyoti92/StarGAN-Voice-Conversion-2","url":"https://github.com/dipjyoti92/StarGAN-Voice-Conversion-2"},{"title":"Kal213/StarGAN-Tutorial-Tensorflow-2.3","url":"https://github.com/Kal213/StarGAN-Tutorial-Tensorflow-2.3"},{"title":"dipjyoti92/StarGAN-Voice-Conversion","url":"https://github.com/dipjyoti92/StarGAN-Voice-Conversion"},{"title":"Rongpeng-Lin/StarGAN-Multi-domain-use-tensorflow","url":"https://github.com/Rongpeng-Lin/StarGAN-Multi-domain-use-tensorflow"},{"title":"cosmic119/StarGAN","url":"https://github.com/cosmic119/StarGAN"},{"title":"SummerHuiZhang/StarGAN_test","url":"https://github.com/SummerHuiZhang/StarGAN_test"},{"title":"2023-MindSpore-1/ms-code-217","url":"https://github.com/2023-MindSpore-1/ms-code-217/tree/main/StarGAN"},{"title":"Negus25/MindSpore-StarGAN","url":"https://github.com/Negus25/MindSpore-StarGAN"},{"title":"wangyu33/rStarGAN-master","url":"https://github.com/wangyu33/rStarGAN-master"},{"title":"Stevan-Zhuang/image-domain-transfer","url":"https://github.com/Stevan-Zhuang/image-domain-transfer"},{"title":"Masao-Taketani/StarGAN-tf2","url":"https://github.com/Masao-Taketani/StarGAN-tf2"},{"title":"jonvthvn90/GitHbProject","url":"https://github.com/jonvthvn90/GitHbProject"},{"title":"SummerHuiZhang/StarGAN_Norland","url":"https://github.com/SummerHuiZhang/StarGAN_Norland"},{"title":"LKLQQ/StarGAN","url":"https://github.com/LKLQQ/StarGAN"},{"title":"sitharakannan/inf","url":"https://github.com/sitharakannan/inf"},{"title":"Mind23-2/MindCode-84","url":"https://github.com/Mind23-2/MindCode-84"},{"title":"itsuki8914/starGAN-LSGAN","url":"https://github.com/itsuki8914/starGAN-LSGAN"},{"title":"alexbrx/stargan","url":"https://github.com/alexbrx/stargan"},{"title":"NiucunCode/Deep-Learning-proj2","url":"https://github.com/NiucunCode/Deep-Learning-proj2"},{"title":"aditiasthana1004/StarGAN","url":"https://github.com/aditiasthana1004/StarGAN"},{"title":"shridhivyah/starGAN","url":"https://github.com/shridhivyah/starGAN"},{"title":"stevebong31/stargan","url":"https://github.com/stevebong31/stargan"},{"title":"shaominghe/stargan_adience","url":"https://github.com/shaominghe/stargan_adience"},{"title":"jcchiba/kamonData","url":"https://github.com/jcchiba/kamonData"},{"title":"jcchiba/sanseriffontdatasetandmodel","url":"https://github.com/jcchiba/sanseriffontdatasetandmodel"},{"title":"alexanderzyl/stargan","url":"https://github.com/alexanderzyl/stargan"},{"title":"noah-rush/Portrait-Genre-GANs","url":"https://github.com/noah-rush/Portrait-Genre-GANs"},{"title":"nguyen-nhat-anh/Star-GAN","url":"https://github.com/nguyen-nhat-anh/Star-GAN"},{"title":"hello-world-cc/starGANv1-Pytorch","url":"https://github.com/hello-world-cc/starGANv1-Pytorch"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/facial-expression-recognition-on-rafd","task":"Facial Expression Recognition (FER)","dataset_variant":"RaFD","rows":1,"metrics":["Accuracy"],"first_row_in_archive_order":{"model":"ViT + SE","paper":"/paper/learning-vision-transformer-with-squeeze-and","metrics":{"Accuracy":"87.22"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/learning-vision-transformer-with-squeeze-and","title":"Learning Vision Transformer with Squeeze and Excitation for Facial Expression Recognition","date":"2021-07-07","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/stargan-unified-generative-adversarial","title":"StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation","date":"2017-11-24","rows_on_this_dataset":1,"code_links":35,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":7,"samples_ran":4,"samples_unverified":3,"pointer_only_for_licence":5,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/unpaired-image-to-image-translation-using","title":"Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks","date":"2017-03-30","rows_on_this_dataset":1,"code_links":190,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":31,"samples_ran":6,"samples_unverified":25,"pointer_only_for_licence":6,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/invertible-conditional-gans-for-image-editing","title":"Invertible Conditional GANs for image editing","date":"2016-11-19","rows_on_this_dataset":1,"code_links":6,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":18,"samples_ran":0,"samples_unverified":18,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/deep-identity-aware-transfer-of-facial","title":"Deep Identity-aware Transfer of Facial Attributes","date":"2016-10-18","rows_on_this_dataset":1,"code_links":0,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":3,"samples_harvested":56,"samples_ran":10,"samples_unverified":46,"pointer_only_for_licence":11,"papers_with_no_sample_that_ran":1,"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."}