{"url":"/dataset/jaffe","name":"JAFFE","full_name":"Japanese Female Facial Expression","description_markdown":"The **JAFFE** dataset consists of 213 images of different facial expressions from 10 different Japanese female subjects. Each subject was asked to do 7 facial expressions (6 basic facial expressions and neutral) and the images were annotated with average semantic ratings on each facial expression by 60 annotators.\r\n\r\nSource: [Balanced k-Means and Min-Cut Clustering](https://arxiv.org/abs/1411.6235)\r\nImage Source: [https://www.researchgate.net/figure/Examples-of-facial-expression-images-from-the-JAFFE-database_fig11_51873190](https://www.researchgate.net/figure/Examples-of-facial-expression-images-from-the-JAFFE-database_fig11_51873190)","description_withheld":null,"homepage":"https://zenodo.org/record/3451524","introduced_date":"1998-01-01","introduced_date_note":null,"introduced_by":{"paper":null,"title":"Coding Facial Expressions with Gabor Wavelets","first_author":null,"url":"http://www.kasrl.org/jaffe_download.html"},"license":{"name":"CC BY 4.0","url":"http://creativecommons.org/licenses/by/4.0/"},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Facial Expression Recognition (FER)","url":"/task/facial-expression-recognition","datasets_with_task":"/datasets/task/facial-expression-recognition"},{"name":"Clustering Algorithms Evaluation","url":"/task/clustering-algorithms-evaluation","datasets_with_task":"/datasets/task/clustering-algorithms-evaluation"},{"name":"Image/Document Clustering","url":"/task/imagedocument-clustering","datasets_with_task":"/datasets/task/imagedocument-clustering"},{"name":"Facial Emotion Recognition","url":"/task/facial-emotion-recognition","datasets_with_task":"/datasets/task/facial-emotion-recognition"}],"languages":[{"name":"Japanese","url":"/datasets/language/japanese"}],"variants":["JAFFE"],"data_loaders":[{"repo":"https://github.com/cyuchhhh/jaffe-dataset-handler","url":"http://www.kasrl.org/jaffe.html","frameworks":["pytorch"]}],"num_papers_in_archive":93,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/facial-expression-recognition-on-jaffe","task":"Facial Expression Recognition (FER)","dataset_variant":"JAFFE","rows":4,"metrics":["Accuracy"],"first_row_in_archive_order":{"model":"TL","paper":"/paper/facial-emotion-recognition-using-transfer","metrics":{"Accuracy":"99.52"},"code_links":[{"title":"ShuvenduRoy/FER_TL_PipelineTraining","url":"https://github.com/ShuvenduRoy/FER_TL_PipelineTraining"},{"title":"EverLookNeverSee/fer_tl_dcnn","url":"https://github.com/EverLookNeverSee/fer_tl_dcnn"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/facial-emotion-recognition-on-jaffe","task":"Facial Emotion Recognition","dataset_variant":"JAFFE","rows":2,"metrics":["Accuracy"],"first_row_in_archive_order":{"model":"TL","paper":"/paper/facial-emotion-recognition-using-transfer","metrics":{"Accuracy":"99.52"},"code_links":[{"title":"ShuvenduRoy/FER_TL_PipelineTraining","url":"https://github.com/ShuvenduRoy/FER_TL_PipelineTraining"},{"title":"EverLookNeverSee/fer_tl_dcnn","url":"https://github.com/EverLookNeverSee/fer_tl_dcnn"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/clustering-algorithms-evaluation-on-jaffe","task":"Clustering Algorithms Evaluation","dataset_variant":"JAFFE","rows":1,"metrics":["Purity"],"first_row_in_archive_order":{"model":"CVDD","paper":"/paper/an-internal-validity-index-based-on-density","metrics":{"Purity":"0.977"},"code_links":[{"title":"hulianyu/CVDD","url":"https://github.com/hulianyu/CVDD"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/image-document-clustering-on-jaffe-1","task":"Image/Document Clustering","dataset_variant":"JAFFE","rows":1,"metrics":["Accuracy (%)"],"first_row_in_archive_order":{"model":"ELSC","paper":"/paper/ensemble-learning-for-spectral-clustering","metrics":{"Accuracy (%)":"98.6"},"code_links":[{"title":"Li-Hongmin/MyPaperWithCode","url":"https://github.com/Li-Hongmin/MyPaperWithCode"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/grefel-geometry-aware-reliable-facial","title":"GReFEL: Geometry-Aware Reliable Facial Expression Learning under Bias and Imbalanced Data Distribution","date":"2024-10-21","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/arbex-attentive-feature-extraction-with","title":"ARBEx: Attentive Feature Extraction with Reliability Balancing for Robust Facial Expression Learning","date":"2023-05-02","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"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/facial-emotion-recognition-using-transfer","title":"Facial Emotion Recognition Using Transfer Learning in the Deep CNN","date":"2021-04-27","rows_on_this_dataset":2,"code_links":2,"syntology":null},{"paper":"/paper/ensemble-learning-for-spectral-clustering","title":"Ensemble Learning for Spectral Clustering","date":"2020-11-20","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/an-internal-validity-index-based-on-density","title":"An Internal Validity Index Based on Density-Involved Distance","date":"2019-03-22","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/deep-emotion-facial-expression-recognition","title":"Deep-Emotion: Facial Expression Recognition Using Attentional Convolutional Network","date":"2019-02-04","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."}