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🚀 Real-Time Object Detection with YOLOv8 📷

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Overview

This repository provides a Python script for real-time object detection using YOLOv8 (You Only Look Once) and OpenCV. The implementation allows you to perform live object detection through your computer's webcam.

Real Time Object Detection Example

Real Time Object Detection Example

Prerequisites

  • Python
  • OpenCV
  • Ultralytics YOLO (Included in the repository)
  • Google Colab

Installation

  1. Clone the repository:

    git clone https://github.com/Satyajithchary/Real_Time_Object_Detection.git
    cd realtime-yolov8-object-detection
    

Usage

Run the main.py script:

python main.py

This script opens your webcam and performs real-time object detection using the pre-trained YOLOv8 model.

Press 'q' to exit the application.

Credits

🌟 YOLOv8: GitHub - Ultralytics YOLOv8 📷 OpenCV: Official OpenCV Website 🚀 Ultralytics YOLO: GitHub - Ultralytics YOLOv5

About

Welcome to the Real Time Object Detection Repository. This repository showcases a Python script for real-time object detection using YOLOv8, OpenCV, and Ultralytics YOLO. With a straightforward setup, you can harness the power of a pre-trained YOLOv8 model for dynamic object recognition through your webcam.

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