Datasets › MAFW
MAFW
MAFW is a large-scale, multi-modal, compound affective database for dynamic facial expression recognition in the wild. It contains 10,045 video-audio clips, annotated with a compound emotional category and a couple of sentences that describe the subjects' affective behaviors in the clip. For the compound emotion annotation, each clip is categorized into one or more of the 11 widely-used emotions, i.e., anger, disgust, fear, happiness, neutral, sadness, surprise, contempt, anxiety, helplessness, and disappointment.
Benchmarks archive 2025-07-28
All 2 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Zero-Shot Facial Expression Recognition | MAFW | EmoCLIP UAR 25.86 | EmoCLIP: A Vision-Language Method for Zero-Shot Video... | nickyfot/emoclip | 1 | Compare |
| Emotion Recognition | MAFW | no rows | — | — | 0 | Compare |
Papers archive 2025-07-28
1 shown of 1 paper with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 31. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| EmoCLIP: A Vision-Language Method for Zero-Shot Video Facial Expression Recognition | 1 | 1 | 25 Oct 2023 | ran 4 of 10 samples (6 unverified) |
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- MAFW
1 variant name, as the archive lists them.
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