Object Detection with YOLO

Overview

This project implements Object Detection using YOLO (You Only Look Once), a real-time object detection system. YOLO divides an image into a grid and predicts bounding boxes and class probabilities for each grid cell. It's known for its speed and accuracy.

Features

• YOLOv8 implementation for object detection.
• Pre-trained weights for quick setup and testing.
• Supports multiple object classes.
• Easy-to-use and well-documented code.

Installation

1. Clone the repository:

   git clone https://github.com/praveenliyanage/Object_Detection_YOLO.git

Navigate to the project directory:

   cd Object_Detection_YOLO

Download YOLOv8 :

• wget : https://www.kaggle.com/code/ultralytics/yolov8

Ultralytics

• get : https://github.com/ultralytics/ultralytics.git