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@@ -65,7 +65,7 @@ The task is to predict whether a food image belongs to **Asian** or **Western**
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  ## Error Analysis
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  - The model reached accuracy and F1 of 1.0 on the test split. This is due to the dataset’s small size or possible overlap with augmented data. The results reflect dataset limitations rather than true generalization.
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  ## Limitations, Biases, and Ethical Notes
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  - Small dataset size -> overfitting risk.
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  - Augmented data may not capture all real world variance (lighting, background, etc.).
 
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  ## Error Analysis
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  - The model reached accuracy and F1 of 1.0 on the test split. This is due to the dataset’s small size or possible overlap with augmented data. The results reflect dataset limitations rather than true generalization.
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  ## Limitations, Biases, and Ethical Notes
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  - Small dataset size -> overfitting risk.
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  - Augmented data may not capture all real world variance (lighting, background, etc.).