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@@ -124,6 +124,16 @@ print(f"Predicted class: {class_names[predicted_class]}")
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  - Texture classification may not generalize to all cheese types
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  - Performance may vary with different lighting conditions or image quality
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  ## Citation
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  If you use this model, please cite both the model and the original dataset:
 
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  - Texture classification may not generalize to all cheese types
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  - Performance may vary with different lighting conditions or image quality
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+ ## AI Usage
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+ This notebook was developed with the assistance of AI as a coding co-pilot. AI tools were used to:
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+ - **Suggest code snippets**: AI provided suggestions for implementing various parts of the code, such as the dataset class, model architecture, training loops, and data preprocessing steps.
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+ - **Debug and refactor code**: AI helped identify potential errors and suggest ways to refactor code for improved readability and efficiency.
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+ - **Generate documentation**: AI assisted in generating explanations for code sections and creating the model card for Hugging Face.
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+ - **Explore potential issues**: AI provided insights into potential challenges, such as handling small batch sizes and implementing early stopping, and suggested strategies to address them.
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+ The AI served as a valuable partner throughout the development process, accelerating coding and improving code quality.
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  ## Citation
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  If you use this model, please cite both the model and the original dataset: