YOLOv Object Detection

A real-time object detection project based on the YOLO architecture. This project performs live object detection using a camera, supports object tracking, radar visualization, and distance estimation. It includes custom-trained weights for detecting multiple object classes.

Features

• Real-time object detection
• Live camera streaming
• Object tracking
• Radar visualization
• Distance estimation
• Multiple object class detection
• Custom-trained YOLO model
• Easy to use and deploy

Technologies Used

• Python
• YOLOv3
• OpenCV
• Darknet
• NumPy

Required Weight File

This project requires the following pretrained weight file:

File: yolov3_last.weights

Please download the file from the link below and place it in the project directory before running the application.

Download Link:

https://drive.google.com/file/d/1zJUsTDvPsfG0lcncDs4-raMMeR4H0yXN/view?usp=sharing

Installation

1. Clone this repository.
2. Download the required weight file.
3. Place yolov3_last.weights in the project folder.
4. Install the required dependencies.
5. Run the application.

License

This project is intended for educational and research purposes.