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@@ -8,4 +8,30 @@ metrics:
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  - accuracy
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  - confusion_matrix
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  - f1
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - accuracy
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  - confusion_matrix
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  - f1
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+ ---
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+
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+ # Trash Classifier Model
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+
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+ This model is a fine-tuned ResNet50 for classifying trash images into categories such as plastic, paper, glass, metal, and others.
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+
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+ ## Dataset
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+ - Dataset: [TrashNet](https://huggingface.co/datasets/garythung/trashnet)
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+ - Number of Classes: 6 (Plastic, Metal, Paper, Glass, Cardboard, Trash)
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+
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+ ## Model Details
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+ - **Base Model**: ResNet50 (pretrained on ImageNet)
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+ - **Fine-tuning**: Input layer adjusted for 6 classes.
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+ - **Input Shape**: (384, 384, 3)
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+ - **Learning Rate**: 0.0001
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+ - **Optimizer**: Adam
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+
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+ ## Performance
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+ - **Accuracy**: (Add your accuracy here after training)
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+ - **Precision**: (Add precision here)
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+ - **Recall**: (Add recall here)
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+
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+ ## How to Use
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+ Load the model and use it for inference:
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+ ```python
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+ from transformers import AutoModel
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+ model = AutoModel.from_pretrained("username/trash-classifier")