imadhavan/FER2025

FER2025 – Facial Expression Recognition Dataset Overview 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: Class Images Angry 224,624 Disgust 239,366 Fear 223,466 Happy 222,082 Neutral 234,230 Sad 217,884 Surprise 228,158 Image formats: jpg, jpeg, png Balanced: Maximum class difference ≈ 1.3% FER2025 is suitable… See the full description on the dataset page: https://huggingface.co/datasets/imadhavan/FER2025.