Datasets › DISFA
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. Action unit annotations are on different levels of intensity, which are ignored in the following experiments and action units are either set or unset. DISFA was selected from a wider range of databases popular in the field of facial expression recognition because of the high number of smiles, i.e. action unit 12. In detail, 30,792 have this action unit set, 82,176 images have some action unit(s) set and 48,612 images have no action unit(s) set at all.
Source: Deep Learning For Smile Recognition Image Source: https://www.researchgate.net/figure/Examples-of-images-extracted-from-the-DISFA-dataset_fig5_301830237
Benchmarks archive 2025-07-28
All 3 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 | ||||
|---|---|---|---|---|---|---|
| Facial Action Unit Detection | DISFA | Norface Average F1 72.7 | Norface: Improving Facial Expression Analysis by... | liuhw01/Norface | 8 | Compare |
| Facial Expression Recognition (FER) | DISFA | Norface ICC 0.67 | Norface: Improving Facial Expression Analysis by... | liuhw01/Norface | 2 | Compare |
| Smile Recognition | DISFA | Deep CNN Accuracy 99.45% | Deep Learning For Smile Recognition | — | 1 | Compare |
Papers archive 2025-07-28
8 shown of 8 papers 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 148. 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 | |||
|---|---|---|---|---|
| Norface: Improving Facial Expression Analysis by Identity Normalization | 1 | 2 | 22 Jul 2024 | not harvested |
| Representation Learning and Identity Adversarial Training for Facial Behavior Understanding | 1 | 2 | 15 Jul 2024 | not harvested |
| Multi-scale Dynamic and Hierarchical Relationship Modeling for Facial Action Units Recognition | 1 | 1 | 9 Apr 2024 | ran 9 of 11 samples (2 unverified) |
| Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit Recognition | 2 | 2 | 2 May 2022 | ran 7 of 7 samples (0 unverified) |
| Pre-training strategies and datasets for facial representation learning | 2 | 1 | 30 Mar 2021 | not harvested |
| Deep Adaptive Attention for Joint Facial Action Unit Detection and Face Alignment | 1 | 1 | 15 Mar 2018 | not harvested |
| Deep Region and Multi-Label Learning for Facial Action Unit Detection | 2 | 1 | 1 Jun 2016 | not harvested |
| Deep Learning For Smile Recognition | 0 | 1 | 30 Jan 2016 | not harvested |
Dataset loaders archive 2025-07-28
1 loader as listed in the archive; links are outbound and not re-checked here.
Tasks archive 2025-07-28
License archive 2025-07-28
Custom (research-only, attribution)
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- DISFA
1 variant name, as the archive lists them.
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