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