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Facial Action Unit Detection datasets

archive 2025-07-28

4 datasets carry the task tag "Facial Action Unit Detection" (the task itself: Facial Action Unit Detection), ordered by the archive's paper count. Page 1 of 1: 4 shown of 4. Facet routes are this site's own (the archive records the tag string, not a page).

The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.

Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets

Facial Action Unit Detection datasets 1–4 of 4

DISFA (Denver Intensity of Spontaneous Facial Action)
The Denver Intensity of Spontaneous Facial Action (DISFA) dataset consists of 27 videos of 4844 frames each, with 130,788 images in total.
148 papers · 3 benchmarks
The BP4D-Spontaneous dataset is a 3D video database of spontaneous facial expressions in a diverse group of young adults.
104 papers · 3 benchmarks
CANDOR Corpus (CANDOR = Conversation: A Naturalistic Dataset of Online Recordings)
The CANDOR corpus is a large, novel, multimodal corpus of 1,656 recorded conversations in spoken English.
1 paper · 0 benchmarks
High-resolution thermal infrared face database with extensive manual annotations, introduced by Kopaczka et al, 2018.
1 paper · 0 benchmarks

Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.