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This is a simple object detection program that uses the YOLO (You Only Look Once) model to detect and identify objects in a real-time webcam feed.

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m3mentomor1/Object-Detection-Using-YOLOv8

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Object Detection Using YOLOv8

🧐 I. Overview

This is a simple object detection program that uses the YOLO (You Only Look Once) model to detect and identify objects in real-time through a webcam.


📦 II. Dependencies

Main

  • OpenCV - an open-source computer vision library known for its use in image processing and computer vision projects.
  • Ultralytics - a deep learning library that provides easy-to-use tools for training and deploying computer vision models.

Others

  • Math - a Python library for mathematical operations.

Download TXT File Here: requirements.txt


🛠️ III. How to Use?

1. Clone this repository

Paste this command on your terminal:

git clone https://github.com/m3mentomor1/Object-Detection-Using-YOLOv8.git

2. Go to the repository's main directory

Paste this command on your terminal:

cd Object-Detection-Using-YOLOv8

3. Install dependencies

Paste this command on your terminal:

pip install -r requirements.txt

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This is a simple object detection program that uses the YOLO (You Only Look Once) model to detect and identify objects in a real-time webcam feed.

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