Datasets › FER+
FER+ (Face Expression Recognition Plus dataset)
The FER+ dataset is an extension of the original FER dataset, where the images have been re-labelled into one of 8 emotion types: neutral, happiness, surprise, sadness, anger, disgust, fear, and contempt.
Source: https://github.com/Microsoft/FERPlus Image Source: https://github.com/Microsoft/FERPlus
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 Expression Recognition (FER) | FER+ | PAtt-Lite Accuracy 95.55 | PAtt-Lite: Lightweight Patch and Attention MobileNet for... | jlrex/patt-lite | 14 | Compare |
| Facial Expression Recognition (FER) | FERPlus | KTN Accuracy(pretrained) 90.49 | Adaptively Learning Facial Expression Representation via... | — | 4 | Compare |
| Facial Expression Recognition | FER+ | ARBEx Accuracy 93.09 | ARBEx: Attentive Feature Extraction with Reliability... | takihasan/arbex | 1 | Compare |
Papers archive 2025-07-28
15 shown of 15 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 124. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
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
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- FER+
- FERPlus
2 variant names, as the archive lists them.
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