| {
|
| "name": "FER2025",
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| "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": [
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| "Feature extraction with CNNs or ViT",
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| "Training deep learning models",
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| "Benchmarking facial expression recognition algorithms"
|
| ],
|
| "dataset_structure": [
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| "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": [
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| {"name": "FER2013", "license": "CC BY-NC"},
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| {"name": "AffectNet", "license": "Research-use-only"},
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| {"name": "CK+", "license": "Research-use-only"},
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| {"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"
|
| }
|
|
|
