datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
wds_fer2013FER2025
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 for… See the full description on the dataset page: https://huggingface.co/datasets/imadhavan/FER2025.genimage-midjourney-10kwds_fer2013FER2025
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 for… See the full description on the dataset page: https://huggingface.co/datasets/linkyle910125/FER2025.
