Datasets:
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{
"name": "FER2025",
"description": "FER2025 is a large-scale, balanced facial emotion dataset containing 1,589,810 images across 7 emotion classes (Angry, Disgust, Fear, Happy, Neutral, Sad, Surprise). It is designed for feature extraction, model training, and benchmarking in computer vision and deep learning.",
"version": "1.0.0",
"total_images": 1589810,
"classes": ["Angry", "Disgust", "Fear", "Happy", "Neutral", "Sad", "Surprise"],
"formats": ["jpg", "jpeg", "png"],
"recommended_usage": [
"Feature extraction with CNNs or ViT",
"Training deep learning models",
"Benchmarking facial expression recognition algorithms"
],
"dataset_structure": [
"Sharded TAR/WebDataset: FER2025/ClassName.tar (images + .cls labels)"
],
"license": "Research-use-only",
"usage_notes": "FER2025 is for research and non-commercial purposes only. Users must respect the licenses of the original datasets included (FER2013, AffectNet, CK+, RAF-DB, etc.) and provide proper attribution.",
"source_datasets": [
{"name": "FER2013", "license": "CC BY-NC"},
{"name": "AffectNet", "license": "Research-use-only"},
{"name": "CK+", "license": "Research-use-only"},
{"name": "RAF-DB", "license": "Research-use-only"}
],
"citation": "Adhavan M. FER2025: Large-Scale Balanced Facial Expression Dataset. 2025. URL: https://huggingface.co/datasets/imadhavan/FER2025"
}
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