{"url":"/dataset/helen","name":"Helen","full_name":null,"description_markdown":"The HELEN dataset is composed of 2330 face images of 400×400 pixels with labeled facial components generated through manually-annotated contours along eyes, eyebrows, nose, lips and jawline.\r\n\r\nSource: [Face Parsing via a Fully-Convolutional Continuous CRF Neural Network](https://arxiv.org/abs/1708.03736)\r\nImage Source: [http://www.ifp.illinois.edu/~vuongle2/helen/](http://www.ifp.illinois.edu/~vuongle2/helen/)","description_withheld":null,"homepage":"http://www.ifp.illinois.edu/~vuongle2/helen/","introduced_date":"2012-01-01","introduced_date_note":null,"introduced_by":{"paper":null,"title":"Interactive Facial Feature Localization","first_author":null,"url":"https://doi.org/10.1007/978-3-642-33712-3_49"},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Semantic Segmentation","url":"/task/semantic-segmentation","datasets_with_task":"/datasets/task/semantic-segmentation"},{"name":"Face Alignment","url":"/task/face-alignment","datasets_with_task":"/datasets/task/face-alignment"},{"name":"Facial Landmark Detection","url":"/task/facial-landmark-detection","datasets_with_task":"/datasets/task/facial-landmark-detection"},{"name":"Face Parsing","url":"/task/face-parsing","datasets_with_task":"/datasets/task/face-parsing"}],"languages":[],"variants":["Helen"],"data_loaders":[],"num_papers_in_archive":201,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/face-parsing-on-helen","task":"Face Parsing","dataset_variant":"Helen","rows":3,"metrics":["Mean F1"],"first_row_in_archive_order":{"model":"DML-CSR","paper":"/paper/decoupled-multi-task-learning-with-cyclical","metrics":{"Mean F1":"93.8"},"code_links":[{"title":"deepinsight/insightface","url":"https://github.com/deepinsight/insightface"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/decoupled-multi-task-learning-with-cyclical","title":"Decoupled Multi-task Learning with Cyclical Self-Regulation for Face Parsing","date":"2022-03-28","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/fake-it-till-you-make-it-face-analysis-in-the","title":"Fake It Till You Make It: Face analysis in the wild using synthetic data alone","date":"2021-09-30","rows_on_this_dataset":2,"code_links":0,"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."}