Synthetic FFER dataset

Published: 5 December 2023| Version 1 | DOI: 10.17632/f7rs6bzkbc.1
Contributor:
Suxrob Bobojanov

Description

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

Licence