Object-Detection-YOLOv8

🎯 Object Detection with YOLOv8

This project implements real-time object detection using YOLOv8 (You Only Look Once). Built with Python and powered by Ultralytics, it allows detection in images, video files, or live webcam feeds.

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🚀 Features

• ⚡ Real-time detection
• 🧠 Uses YOLOv8 pre-trained model
• 🎥 Supports image, video, and webcam input
• 💾 Outputs saved automatically in /runs/detect/
• 📦 Custom model support

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🛠️ Tech Stack

• Python 3.8+
• Ultralytics YOLOv8
• OpenCV
• Torch
• Java JDK (for some extended tools like BFG Repo Cleaner)

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📁 Project Structure

agentic-object-detector/ ├── detect.py # Main script for detection ├── requirements.txt # Python dependencies ├── yolov8n.pt # YOLOv8 pre-trained weights (nano version) ├── runs/ # Output folder (auto-created) ├── .gitignore └── README.md

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✅ Installation

1. Clone the repository

git clone https://github.com/Shaikhasna/Object-Detection-YOLOv8.git
cd Object-Detection-YOLOv8

2.Create a virtual environment (optional but recommended) python -m venv venv source venv/bin/activate # or venv\Scripts\activate (on Windows)

3.Install Python dependencies pip install -r requirements.txt

4.Download the YOLOv8 model (if not included)

Download the nano model (small and fast)

wget https://github.com/ultralytics/assets/releases/download/v0.0.0/yolov8n.pt

🎬 Usage Perform real-time object detection using YOLOv8 with various input sources. 🖥️ 3. Run Detection on a Webcam (Real-Time)

python main.py

Runs live detection using the system's webcam. Press q to quit the detection window.