MFA

Many Faces of Anger

Dataset Information
Modalities
Videos
Introduced
2021
License
Unknown
Homepage
Official Website
Contents

Overview

The MFA (Many Faces of Anger) dataset includes 200 in-the-wild videos from North American and Persian cultures with fine-grained labels of: 'annoyed', 'anger', 'disgust', 'hatred' and 'furious' and 13 related emojis.

Image source: https://arxiv.org/pdf/2112.05267.pdf

Variants: MFA

Associated Benchmarks

This dataset is used in 1 benchmark:

  • Emotion Classification - Metrics: F-F1 score (Comb.), F-F1 score (Persian), V-F1 score (Comb.), V-F1 score (NA), F-F1 score (NA), V-F1 score (Persian)

Recent Benchmark Submissions

Task Model Paper Date
Emotion Classification MLKNN The Many Faces of Anger: … 2021-12-10
Emotion Classification CC - XGB The Many Faces of Anger: … 2021-12-10

Research Papers

Recent papers with results on this dataset:

External Links: