Car Dekhliya

An AI tool that streamlines your car insurance process by detecting damages with the most accuracy.

Table of Contents

- Background - Installation - Usage - Contributing - License

Background

Car damages can be a major safety hazard if not detected and repaired in time. However, detecting damages in cars can be a tedious and time-consuming task for humans. This is where machine learning can be of great help. By training a machine learning model on a dataset of car images with damages, we can develop an automated system for detecting damages in cars.

Installation

To install the necessary dependencies for this project, run the following command:

pip install -r requirements.txt

Usage

To use the car damage detection model, follow these steps:

• Clone this repository
• Install the necessary dependencies
• Run the prediction_engine.py script
• Provide the path to the image you want to test
• The script will output whether the car has damages or not

from prediction_engine import get_yolov5
model = get_yolov5(input_image)
print(model)

Contributing

We welcome contributions to this project. To contribute, please fork this repository, make your changes, and submit a pull request.

License

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