imadhavan/FER2025

FER2025是一个大规模、平衡的面部情绪数据集，旨在为深度学习和计算机视觉研究提供支持。该数据集包含1,589,810张图片，分为7个情绪类别，包括愤怒、厌恶、恐惧、快乐、中性、悲伤和惊讶。所有图片格式为jpg、jpeg或png，并且各个类别之间数量均衡，最大类别差异约为1.3%。适用于特征提取、模型训练和基准测试。

FER2025 is a large-scale, balanced facial emotion dataset designed for deep learning and computer vision research. It contains 1,589,810 images across 7 emotion classes: Angry, Disgust, Fear, Happy, Neutral, Sad, and Surprise. All images are in jpg, jpeg, or png format, and the dataset is balanced with a maximum class difference of approximately 1.3%. It is suitable for feature extraction, model training, and benchmarking.