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README.md

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@@ -23,18 +23,16 @@ The classifier is based on a pre-trained VGG16 model with additional layers adde
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Please note that the training dataset is not included in this repository due to its size. You can download the dataset from [Kaggle](https://www.kaggle.com/datasets/gauravneupane/nepali-rupees-collection). After downloading, extract the dataset and arrange the folder structure as follows:
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dataset/
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├── train/
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│ ├── class_1/
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│ ├── class_2/
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│ ├── ...
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│ └── class_n/
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│ ├── class_1/
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│ ├── class_2/
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│ ├── ...
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│ └── class_n/
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└── valid/
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├── class_1/
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├── class_2/
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├── ...
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└── class_n/
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├── class_1/
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├── class_2/
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├── ...
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└── class_n/
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Replace `class_1`, `class_2`, etc., with the actual class names or labels of the currency notes.

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