🍽️ Dishes Model

This repository demonstrates how to perform image classification using Python, Keras, and Jupyter Notebook.
We use a dataset of dish images from around the world, categorized into six cuisine classes:

• American
• Chinese
• European
• Indian
• Japanese
• Korean

The notebook dishes_model.ipynb serves as an educational guide, showcasing how to build and train a neural network using transfer learning.
Note: The resulting model is not intended for production use but is a solid foundation for learning, experimentation, and future extensions.

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🚀 Installation

Clone this repository using Git:

git clone https://github.com/manfredbork/dishes_model.git

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📓 Usage

Open the notebook in your local or remote Jupyter Notebook environment:

jupyter notebook dishes_model.ipynb

If you're new to Jupyter, visit jupyter.org to get started.

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📌 Notes

• Python 3.9+ is recommended.
• All dependencies can be installed via the provided requirements.txt file.

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📷 Sample Output

The notebook includes:

• Visualization of example dish images
• Model training using EfficientNetB0
• Accuracy plots for performance evaluation
• Final model export for reuse

Happy learning and experimentation!