Welcome to the Deep Object Damage Analysis project! This full-stack website is your go-to tool for detecting and assessing damage using state-of-the-art technology.
This project leverages YOLOv8, OpenCV, and Flask to deliver a robust damage detection and assessment system. Whether you're a professional in the field or just curious about the power of computer vision, this tool is for you!
✅ Advanced Detection: Our custom YOLOv8-based model ensures highly accurate damage detection.
📷 Image Upload: Simply upload an image, and the system will do the rest.
⚙️ Severity Assessment: The system not only detects damage but also assesses its severity.
🌐 Full-Stack Web App: Accessible via a user-friendly web interface powered by Flask.
📈 Reliable Results: Trust in the accuracy and reliability of the analysis.
- Clone this repo to your local machine.
- Install the necessary dependencies using
pip install -r requirements.txt. - Run the Flask app with
python webapp.py.
Ready to deploy this project? Consider using platforms like Vercel or PythonAnywhere for seamless hosting.
- Need help or want to contribute? We'd love to hear from you! Open an issue or submit a pull request.
Please ensure you have the necessary permissions to access and use the tools and libraries included in this project.
Explore the project in action at Website!
Happy Detecting! 📸✨