Object Detection using YOLO

This is a basic object detection project implemented in Python using the YOLO (You Only Look Once) algorithm.

Introduction

This project aims to demonstrate object detection capabilities using YOLO, a deep learning algorithm known for its real-time object detection capabilities. The model is implemented in Python and utilizes the power of deep learning to detect various objects within an image.

Features

• Object detection using YOLO algorithm
• Basic model implementation
• Real-time object detection
• Python-based implementation

Team Members

• Mohammad Saquib
• Aditya Mungee
• Rudra Patidar

Getting Started

To get started with this project, follow these steps:

1. Clone the repository: git clone https://github.com/VedaNetra/Object_Detection_using_YOLO
2. Run the project: (run the ipynb file)

Usage

Once the project is up and running, you can use it to detect objects in images. You can customize the project according to your requirements and experiment with different parameters to improve the object detection accuracy.

Contributing

We welcome contributions from the community to enhance this project. If you have any ideas, bug fixes, or improvements, please submit a pull request. Make sure to follow the existing coding style and add appropriate documentation.

Contact Information

• Mohammad Saquib(shadmanshahin6@gmail.com)
• Aditya Mungee(mungeeaditya@gmail.com)
• Rudra Patidar(rudrapatidar3@gmail.com)

License

This project is licensed under the MIT License.