Culture and Social Signals In the Wild
Many Faces of Anger in the Wild dataset (MFA-Wild )
Cultural differences in emotion expression is considered a barrier in affective computing systems, since most research and datasets are biased toward Western subjects. Moreover, most datasets, only have basic emotion labels, while a single label like anger may have wide range of arousal levels. In this dataset, we collected more than 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.
Type of data:
Video data, in mp4 file format.
Data is separated into training and testing. Training data can be used for k-fold cross-validation.
Emotion/emoji labels are in the csv files.
Extracted features from OpenFace are in files na_dataset.csv and persian_dataset.csv.
Our data is publicly available for research purposes. Please cite our paper: