🌊 Marine Debris Detection AI

An AI-powered web application for detecting marine debris in ocean imagery using YOLOv8 deep learning model.

✨ Features

• 🤖 Advanced AI Detection: YOLOv8 model trained on marine debris dataset
• 🌐 Real-time Web Interface: Beautiful Flask app with modern Tailwind/Bootstrap UI
• 🎨 Stunning Design: Ocean wave animations, glossy glassmorphism effects
• 📊 Smart Analytics: Confidence scores, bounding boxes, and cleanup recommendations
• 📱 Responsive: Works on desktop and mobile devices

🚀 Quick Start

1. Clone the repository:

   git clone https://github.com/Arjun-56/marine-debris-detection.git
   cd marine-debris-detection

2. Install dependencies:

   pip install -r requirements_enhanced.txt

3. Run the application:

   python app_enhanced.py

4. Open your browser: Visit http://localhost:5000 and upload ocean images!

🛠️ Project Structure

• app_enhanced.py - Main Flask application
• train_enhanced.py - Model training script
• marine_debris_enhanced.yaml - Dataset configuration
• templates/index_enhanced.html - Modern web interface
• marine_debris_detection/ - Trained YOLOv8 model and results

🌟 Model Details

• Framework: YOLOv8 Nano
• Classes: 5 types of marine debris (plastic, foam, bottles, etc.)
• Accuracy: High confidence detection with bounding boxes
• Performance: Optimized for real-time inference

📸 Screenshots

(Add images of your UI here)

🤝 Contributing

Feel free to fork, star, or contribute to make our oceans cleaner!

📄 License

MIT License - Open source for environmental good.

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Made with ❤️ for cleaner oceans! 🌊🤖