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emotion-detection-efficientnet
sarasij907/emotion-detection-efficientnet
emotion-detection-efficientnet is a image classification model from sarasij907. Use it when you need a label for an image. It is set up for keras.
ImageNet-pretrained EfficientNetB0 fine-tuned with 5-fold stratified validation. Classes: angry, disgust, fear, happy, neutral, sad, surprise. Mean validation accuracy: 0.5596. Input: RGB image resized to 224x224.
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At a glance
- Task
- Image Classification
- Library
- keras
- Access
- Public
- Created
- Aug 23, 2026
- Updated
- Aug 23, 2026
- SHA
- 502cea0e
Model card
From the Hugging Face model README
Emotion Detection EfficientNetB0
ImageNet-pretrained EfficientNetB0 fine-tuned with 5-fold stratified validation. Classes: angry, disgust, fear, happy, neutral, sad, surprise. Mean validation accuracy: 0.5596. Input: RGB image resized to 224x224.
- Task
- Image Classification
- Library
- keras
- Created
- Aug 23, 2026
- Updated
- Aug 23, 2026