🎥 YOLOv8 Video Object Detection (Flask App)

This project is a Flask-based web application that performs real-time object detection on uploaded videos using YOLOv8 (Ultralytics).
Users can upload a video, and the app streams the detected objects frame-by-frame in the browser.

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🚀 Features

• Upload video via web interface
• Real-time object detection using YOLOv8
• Live video streaming with bounding boxes
• Lightweight and easy to deploy
• Uses OpenCV for video processing

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🧠 Model Used

• YOLOv8 Nano (yolov8n.pt)
• Pre-trained on the COCO dataset

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📁 Project Structure

bash

├── app.py
├── README.md
└── yolov8.pt

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🛠️ Installation

1️⃣ Clone the repository

bash

git clone (https://github.com/Bilal-73/YOLOv8-Real-Time-Video-Object-Detection-with-Flask.git)
cd your-repo

📤 How It Works

• Upload a video file
• Video is saved in the uploads/ directory
• Frames are processed using YOLOv8
• Annotated frames are streamed back to the browser

⚠️ Notes

• Large videos may cause slow streaming
• GPU is recommended for better performance
• This demo uses a single global video session

👤 Author

Bilal Imran

• 🎓 BS Computer Science (AI Specialization)
• 💻 AI / Machine Learning & Full-Stack Developer
• 📍 Pakistan

GitHub: https://github.com/Bilal-73