The Synthetic Fake Facial Emotion Recognition (FFER) dataset

Published: 12 December 2023| Version 2 | DOI: 10.17632/f7rs6bzkbc.2
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.

Files

Institutions

Kumoh National Institute of Technology

Categories

Emotion, Emotion Expression

Licence