{"url":"/dataset/afew-va","name":"AFEW-VA","full_name":"AFEW-VA Database for Valence and Arousal Estimation In-The-Wild","description_markdown":"The AFEW-VA databaset is a collection of highly accurate per-frame annotations levels of valence and arousal, along with per-frame annotations of 68 facial landmarks for 600 challenging video clips. These clips are extracted from feature films and were also annotated in terms of discrete emotion categories in the form of the AFEW database (that can be obtained [there](https://cs.anu.edu.au/few/AFEW.html)).\r\n\r\nSource: [AFEW-VA](https://ibug.doc.ic.ac.uk/resources/afew-va-database/)","description_withheld":null,"homepage":"https://ibug.doc.ic.ac.uk/resources/afew-va-database/","introduced_date":"2017-02-07","introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[{"name":"Videos","url":"/datasets/modality/videos"}],"tasks":[],"languages":[],"variants":["AFEW-VA"],"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."}