Datasets › ExpW

ExpW (Expression in-the-Wild)

Introduced by Zhanpeng Zhang et al. in From Facial Expression Recognition to Interpersonal Relation Prediction21 Sep 2016 archive 2025-07-28

The Expression in-the-Wild (ExpW) dataset is for facial expression recognition and contains 91,793 faces manually labeled with expressions. Each of the face images is annotated as one of the seven basic expression categories: “angry”, “disgust”, “fear”, “happy”, “sad”, “surprise”, or “neutral”.

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) ExpW ResEmoteNet Accuracy 75.67 ResEmoteNet: Bridging Accuracy and Loss Reduction in... ArnabKumarRoy02/ResEmoteNet 1 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 41. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
ResEmoteNet: Bridging Accuracy and Loss Reduction in Facial Emotion Recognition 1 1 1 Sep 2024 not harvested

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

Unknown

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • ExpW

1 variant name, as the archive lists them.

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