Datasets › FERG

FERG (Facial Expression Research Group Database)

Introduced in Modeling Stylized Character Expressions via Deep Learning1 Jan 2016 archive 2025-07-28

FERG is a database of cartoon characters with annotated facial expressions containing 55,769 annotated face images of six characters. The images for each character are grouped into 7 types of cardinal expressions, viz. anger, disgust, fear, joy, neutral, sadness and surprise.

Source: VGAN-Based Image Representation Learningfor Privacy-Preserving Facial Expression Recognition Image Source: http://grail.cs.washington.edu/projects/deepexpr/ferg-2d-db.html

Benchmarks archive 2025-07-28

All 1 leaderboard 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)PaperCode
Facial Expression Recognition (FER) FERG DeepEmotion Accuracy 99.3 Deep-Emotion: Facial Expression Recognition Using... omarsayed7/Deep-Emotion +2 2 Compare

Papers archive 2025-07-28

2 shown of 2 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 8. 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

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • FERG

1 variant name, as the archive lists them.

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