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🎯 Object Detection with YOLOv8n | Computer Vision Project | NUML Karachi

This project demonstrates a real-time object detection system built using YOLOv8n, capable of detecting objects in:

📷 Images
🎞️ Videos
🎥 Live Webcam Streams

The application is designed with a clean and functional web interface using Flask, making it accessible through a local or hosted server. It leverages the power of Ultralytics YOLOv8n for efficient and accurate detection.

🔧 Technologies Used:
Flask==2.3.2 – Web framework for Python
ultralytics==8.0.196 – YOLOv8 object detection
opencv-python==4.8.0.76 – Image & video processing
Pillow==10.0.0 – Image handling
pandas==2.0.3 – Data manipulation
numpy==1.24.3 – Numerical computation
werkzeug==2.3.7 – WSGI utility library


👨‍💻 Developed by: AAbid Khokhar
🧑‍🏫 Supervised by: Sir Saad bin Ethisham
*📍 Department of Computer Science, NUML Karachi Campus

📂 GitHub Repository: https://github.com/abidkk/Yolo-Object...
🌐 Visit: www.digitalneurons.site
whatsapp : +92 3122646268
Email: [email protected]