The Synthetic Fake Facial Emotion Recognition (FFER) dataset
Published: 12 December 2023| Version 2 | DOI: 10.17632/f7rs6bzkbc.2
Contributor:
Suxrob BobojanovDescription
The Synthetic Fake Facial Emotion Recognition (FFER) dataset created by Stable Diffusion model. The dataset includes 7 emotion categories: angry, disgust, fear, happy, sad, surprise, and neutral, each with over 3000 synthetic facial images with 64x64 pixels.
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Institutions
Kumoh National Institute of Technology
Categories
Emotion, Emotion Expression