{"url":"/dataset/feafa","name":"FEAFA+","full_name":null,"description_markdown":"**FEAFA+** is a dataset for Facial expression analysis and 3D Facial animation. It includes 150 video sequences from FEAFA and [DISFA](disfa), with a total of 230,184 frames being manually annotated on floating-point intensity value of 24 redefined AUs using the Expression Quantitative Tool.","description_withheld":null,"homepage":"https://www.iiplab.net/feafa+/","introduced_date":"2021-11-04","introduced_date_note":null,"introduced_by":{"paper":"/paper/feafa-an-extended-well-annotated-dataset-for","title":"FEAFA+: An Extended Well-Annotated Dataset for Facial Expression Analysis and 3D Facial Animation","first_author":"Wei Gan","url":null},"license":null,"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":"3D Face Animation","url":"/task/3d-face-animation","datasets_with_task":"/datasets/task/3d-face-animation"}],"languages":[],"variants":["FEAFA+"],"data_loaders":[],"num_papers_in_archive":3,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"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."}