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- Model : Image to Emotion
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- using resnet50
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- Accurecy 67.8%
 
 
 
 
 
 
 
 
 
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+ ---
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+ pipeline_tag: image-classification
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+ library_name: pytorch
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+ ---
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+
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+ # ResNet50 Image Emotion Model
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+ Model: Image → Emotion Classification
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+ Backbone: ResNet50
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+ Classes: 6 emotions
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+ Accuracy: 67.8%