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This repository hosts a deep learning model for license plate detection from images, using TensorFlow and Keras. It employs a pre-trained MobileNetV2 model and data augmentation for improved accuracy. Licensed under Creative Commons Attribution

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License Plate Detection

This repository hosts a deep learning model for license plate detection from images, using TensorFlow and Keras. It employs a pre-trained MobileNetV2 model and data augmentation for improved accuracy. Licensed under Creative Commons Attribution 4.0.

Usage

  1. Clone this repository:
git clone https://github.com/your_username/license-plate-detection.git
  1. Navigate to the project directory:
cd license-plate-detection
  1. Run the script:
python3 license_plate_detection.py

Ensure to replace /path/to/your/dataset with the actual path to your dataset directory in the license_plate_detection.py script before running it.

Customization

You can customize the data directory, data augmentation parameters, and the architecture of the dense layer added to the base model within the script.

License

This project is licensed under the Creative Commons Attribution 4.0 International License. This license allows others to distribute, remix, tweak, and build upon your work, even commercially, as long as they credit you for the original creation. See the LICENSE.md file in this repository for more details.

Credits

  • The TensorFlow and Keras team for the pre-trained MobileNetV2 model and the comprehensive documentation.
  • The creators and contributors of the ImageNet dataset.
  • The machine learning community at large for valuable discussions and code snippets.

About

This repository hosts a deep learning model for license plate detection from images, using TensorFlow and Keras. It employs a pre-trained MobileNetV2 model and data augmentation for improved accuracy. Licensed under Creative Commons Attribution

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