README.md for Flower CNN Classification

This file is ready to be used on GitHub without any personal information.

Flower CNN Classification

This repository contains a simple CNN training code using a small number of flower images. The code is provided without any personal information and is safe to share on GitHub.

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How to Run

1. Prepare the Image Data

1. Create a folder named FlowerImages in the same directory as this repository.
2. Organize the folder structure as follows (create a folder for each class and put images inside):

FlowerImages/
    daisy/
        image1.jpg
        image2.jpg
        ...
    rose/
        image1.jpg
        image2.jpg
        ...
    tulip/
        image1.jpg
        image2.jpg
        ...

• Supported image formats are .jpg or .png.
• Having at least 2 images per class is recommended for stable training.

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2. Required Python Packages

pip install tensorflow matplotlib

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3. Run the Training

python FlowerCNN.py

• This will train the CNN using the training data and display graphs of training accuracy and loss.
• Currently, there is no validation data included.

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4. Notes

• The code does not contain any personal information (e.g., user names or full paths).
• The image data is not included in this repository, so you must prepare your own FlowerImages folder.