Image Classification Project

A Python project that utilizes TensorFlow and Keras to create an image classification system.

Requirements

• Python 3.x
• TensorFlow 2.x
• NumPy
• Matplotlib
• PIL

Setup

1. Install the required packages using pip:

    pip install tensorflow numpy matplotlib pillow

Usage

1. Clone the repository to your local machine using Git:

    git clone https://github.com/bkk31/image-classification.git

2. Navigate to the project directory:

    cd image-classification

3. Run the Jupyter notebook using Python 3.x:

    jupyter notebook Main.ipynb

Notes

• This project uses TensorFlow and Keras for building and training the image classification model.
• Make sure to check the library documentation for any updates or changes to the API.
• Also, ensure that the dataset is properly configured and loaded.

Important Note:

• The EfficientNetB0 model used in this project has been observed to achieve state-of-the-art results on various image classification tasks.
• However, the performance of the model may vary depending on the quality and diversity of the training dataset.

License

This project is licensed under the GNU General Public License version 3.0 (GPLv3). See the LICENSE file for details.

Contributing

Contributions are welcome! If you'd like to contribute to this project, please fork the repository and submit a pull request.