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{
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"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.",
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"version": "1.0.0",
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"total_images": 1589810,
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"classes": ["Angry", "Disgust", "Fear", "Happy", "Neutral", "Sad", "Surprise"],
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"formats": ["jpg", "jpeg", "png"],
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"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"
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],
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"dataset_structure": [
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"Sharded TAR/WebDataset: FER2025/ClassName.tar (images + .cls labels)"
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],
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"license": "Research-use-only",
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"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.",
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"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"}
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],
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"citation": "Adhavan M. FER2025: Large-Scale Balanced Facial Expression Dataset. 2025. URL: https://huggingface.co/datasets/imadhavan/FER2025"
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}
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