CarRecognition - AI Model

This is one of the best vehicle recognition applications. It can determine the car's license plate number, color, model, brand, and year.

Author: Jasurbek Shukurov

Why?

This model runs with the highest accuracy compared to other models existing in the market.

Features

• License Plate Recognition: Accurately detects and recognizes license plate numbers from images.
• Vehicle Color Detection: Identifies the primary color of the vehicle.
• Model and Brand Identification: Determines the specific model and brand of the vehicle.
• Year Estimation: Estimates the manufacturing year of the vehicle.

Installation

Clone the repository:

   bash
   git clone https://github.com/jasur-2902/Car-Recognition.git
   cd Car-Recognition

Usage

Upload an image of a vehicle. The application will process the image and display the detected information, including license plate number, vehicle color, model, brand, and estimated year.

How it Works

The CarRecognition app uses a deep learning model trained on a large dataset of vehicle images. It processes the input image, extracts relevant features, and then applies a series of classification algorithms to determine the car's details.

Contributing

If you'd like to contribute to this project, please fork the repository and use a feature branch. Pull requests are warmly welcome.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contact

For any inquiries or support, please contact jasur.shukurov29@gmail.com.

Screenshots