Teaching computers to understand the world in real time.

This project implements YOLOv8 Object Detection using the Ultralytics Framework.

The application detects multiple objects simultaneously from:

✨ Images
🎥 Videos
📹 Live Webcam

Every detected object is displayed with

• 🎯 Bounding Box
• 📌 Class Label
• 📈 Confidence Score

making real-time computer vision simple and powerful.

             ┌────────────────────┐
             │   Input Source      │
             │Image / Video / Cam │
             └─────────┬──────────┘
                       │
                       ▼
             ┌────────────────────┐
             │      OpenCV        │
             └─────────┬──────────┘
                       │
                       ▼
             ┌────────────────────┐
             │ YOLOv8 Inference   │
             └─────────┬──────────┘
                       │
                       ▼
             ┌────────────────────┐
             │ Object Detection   │
             └─────────┬──────────┘
                       │
                       ▼
             ┌────────────────────┐
             │Bounding Boxes + AI │
             └─────────┬──────────┘
                       │
                       ▼
             ┌────────────────────┐
             │ Final Prediction   │
             └────────────────────┘

object-detection
│
├── detect_image.py
├── detect_webcam.py
│
├── assets
│   ├── detected_image.png
│   ├── object_detected_video.mp4
│   └── object_detection_through_webcam.mp4
│
├── requirements.txt
└── README.md

git clone https://github.com/vishnu-R2005/object-detection.git

cd object-detection

python -m venv venv

Windows

venv\Scripts\activate

Linux/macOS

source venv/bin/activate

Install dependencies

pip install ultralytics opencv-python

python detect_image.py --image image.jpg

python detect_image.py --video video.mp4

python detect_webcam.py --video 0

Image Detection	Video Detection

🚗 Autonomous Driving

🏭 Manufacturing

🛒 Retail Analytics

🎥 Smart Surveillance

🚦 Traffic Monitoring

🌿 Agriculture

🤖 Robotics

🐘 Wildlife Monitoring

🏥 Healthcare

• Image Detection
• Webcam Detection
• Video Detection
• Custom Training
• Flask Deployment
• Django REST API
• Docker Container
• TensorRT
• ONNX Export
• Multi Object Tracking
• AWS Deployment

███████████████████████░░  Computer Vision

█████████████████████░░░░  Deep Learning

██████████████████████░░░  YOLOv8

█████████████████████░░░░  OpenCV

█████████████████████░░░░  PyTorch

██████████████████████░░░  Real-Time AI

██████████████████████░░░  Object Detection

Python Backend Developer • AI Enthusiast • Computer Vision Learner

This project reflects my passion for combining Artificial Intelligence with practical software engineering.

By building this application, I strengthened my understanding of

• Deep Learning
• OpenCV
• Object Detection
• Real-Time Inference
• PyTorch
• Computer Vision Pipelines

I enjoy building intelligent software that solves real-world problems using Python and AI.

⭐ Support

If you like this project

⭐ Star the Repository

🍴 Fork it

🛠️ Contribute

💬 Share Feedback

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💙 Developed with Passion by Vishnu R

"Teaching computers to see the world, one frame at a time."