{"url":"/dataset/expw","name":"ExpW","full_name":"Expression in-the-Wild","description_markdown":"The **Expression in-the-Wild (ExpW)** dataset is for facial expression recognition and contains 91,793 faces manually labeled with expressions. Each of the face images is annotated as one of the seven basic expression categories: “angry”, “disgust”, “fear”, “happy”, “sad”, “surprise”, or “neutral”.","description_withheld":null,"homepage":"http://mmlab.ie.cuhk.edu.hk/projects/socialrelation/index.html","introduced_date":"2016-09-21","introduced_date_note":null,"introduced_by":{"paper":"/paper/from-facial-expression-recognition-to","title":"From Facial Expression Recognition to Interpersonal Relation Prediction","first_author":"Zhanpeng Zhang","url":null},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Emotion Recognition","url":"/task/emotion-recognition","datasets_with_task":"/datasets/task/emotion-recognition"},{"name":"Facial Expression Recognition (FER)","url":"/task/facial-expression-recognition","datasets_with_task":"/datasets/task/facial-expression-recognition"},{"name":"Multi-Label Learning","url":"/task/multi-label-learning","datasets_with_task":"/datasets/task/multi-label-learning"}],"languages":[],"variants":["ExpW"],"data_loaders":[],"num_papers_in_archive":41,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/facial-expression-recognition-fer-on-expw","task":"Facial Expression Recognition (FER)","dataset_variant":"ExpW","rows":1,"metrics":["Accuracy"],"first_row_in_archive_order":{"model":"ResEmoteNet","paper":"/paper/resemotenet-bridging-accuracy-and-loss","metrics":{"Accuracy":"75.67"},"code_links":[{"title":"ArnabKumarRoy02/ResEmoteNet","url":"https://github.com/ArnabKumarRoy02/ResEmoteNet"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/resemotenet-bridging-accuracy-and-loss","title":"ResEmoteNet: Bridging Accuracy and Loss Reduction in Facial Emotion Recognition","date":"2024-09-01","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."}