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In this project, we aim to build an automated car license plates detection and recognition system using YOLOv8 and Tesseract.

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AlbertoRAG96/car_license_plates_recognition

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Car Plates Detector

License Plates Photo by Tom Grünbauer on Unsplash

This repository contains a car plates detector using YOLOv8 and PyTesseract. It's a powerful and efficient tool for detecting and recognizing license plates in images. The repo includes a Flask application where you can upload an image and the detector will identify the license plate for you.

Table of Contents

Features

  • License plate detection using YOLOv8.
  • License plate recognition using PyTesseract.
  • Flask web application for easy user interaction.
  • Example notebook to demonstrate YOLO model usage.

Getting Started

To get started, clone this repository to your local machine:

git clone https://github.com/AlbertoRAG96/car_license_plates_recognition.git
cd car_license_plates_recognition

Installation

To install all the necessary libraries and dependencies, run the following command:

pip install -r requirements.txt

Usage

  1. Start the Flask application:
python app.py
  1. Open a web browser and navigate to:
http://127.0.0.1:5000/
  1. Upload an image and let the detector identify the license plate for you.

Example Notebook

An example notebook is included in the examples folder to show you how to use the YOLOv8 model. You can find it here.

Contributing

If you want to contribute to this project, please submit a pull request with your changes, or create an issue to discuss your ideas.

License

This project is licensed under the MIT License.

About

In this project, we aim to build an automated car license plates detection and recognition system using YOLOv8 and Tesseract.

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