{"url":"/dataset/d3dfacs","name":"D3DFACS","full_name":"Dynamic 3D Facial Action Coding System Database","description_markdown":"The D3DFACS dataset is a dynamic 3D facial expression data set based on the Facial Action Coding System. It contains Action Unit (AU) sequences from 10 people, with 519 sequences in total. The peak image of each expression sequence has been manually FACS coded by a certified expert.\r\n\r\nRegistered meshes in FLAME mesh topology are available under https://flame.is.tue.mpg.de/downloads","description_withheld":null,"homepage":"https://www.cs.bath.ac.uk/~dpc/D3DFACS/","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":{"name":"Custom","url":"https://www.cs.bath.ac.uk/~dpc/D3DFACS/"},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[],"languages":[],"variants":["D3DFACS"],"data_loaders":[],"num_papers_in_archive":1,"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."}