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m Add another popular dataset in the field of facial expression recognition. |
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|Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS) <ref>Livingstone & Russo (2018). The Ryerson Audio-Visual Database of
Emotional Speech and Song (RAVDESS): A dynamic, multimodal set of facial and vocal expressions in North American English. {{doi|10.1371/journal.pone.0196391
}}</ref>
|Speech: Calm, happy, sad, angry, fearful, surprise, disgust, and neutral.
Song: Calm, happy, sad, angry, fearful, and neutral.
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|Posed; spontaneous smiles
|-
|Japanese Female Facial Expressions (JAFFE)<ref>{{Cite book | doi=10.5281/zenodo.3451524| year=1998| last1=Lyons| first1=Michael| title=The Japanese Female Facial Expression (JAFFE) Database| last2=Kamachi| first2=Miyuki| last3=Gyoba| first3=Jiro}}</ref>
|neutral, sadness, surprise, happiness, fear, anger, and disgust
|10
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2016, {{doi|10.1109/TAFFC.2015.2498174}}.
</ref>
|sadness, surprise, happiness, and disgust
|50
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|Spontaneous
|-
|Radboud Faces Database (RaFD)<ref>Langner, O., Dotsch, R., Bijlstra, G., Wigboldus, D.H.J., Hawk, S.T., & van Knippenberg, A. (2010). Presentation and validation of the Radboud Faces Database. Cognition & Emotion, 24(8), 1377—1388. {{doi|10.1080/02699930903485076}}</ref>
|neutral, sadness, contempt, surprise, happiness, fear, anger, and disgust
|67
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|Valence, Arousal, 7 basic expressions, action units for each video frame
|In-the-Wild setting
|-
|Real-world Affective Faces Database (RAF-DB)<ref>{{Cite web|last=Li.|first=S.|date=|title=RAF-DB|url=http://www.whdeng.cn/RAF/model1.html|url-status=live|archive-url=|archive-date=|access-date=|website=Real-world Affective Faces Database}}</ref><ref>{{Cite journal|last=Li|first=S.|last2=Deng|first2=W.|last3=Du|first3=J.|date=2017|title=Reliable Crowdsourcing and Deep Locality-Preserving Learning for Expression Recognition in the Wild|url=https://ieeexplore.ieee.org/document/8099760/|journal=2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)|volume=|pages=2584–2593|doi=10.1109/CVPR.2017.277|via=}}</ref>
|6 classes of '''basic emotions''' (Surprised, Fear, Disgust, Happy, Sad, Angry) plus Neutral and 12 classes of '''compound emotions''' (Fearfully Surprised, Fearfully Disgusted, Sadly Angry, Sadly Fearful, Angrily Disgusted, Angrily Surprised, Sadly Disgusted, Disgustedly Surprised, Happily Surprised, Sadly Surprised, Fearfully Angry, Happily Disgusted)
|
|29672 annotated examples
|Color
|Various for original dataset and 100x100 for aligned dataset
|Emotion labels
|Posed and Spontaneous
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