π FastAPI Server for YOLOv8 Pothole Detection Integration π³οΈ
π Overview:
This repository hosts an ultra-efficient π FastAPI server designed specifically for integrating with the powerful YOLOv8 model. Our goal is to revolutionize pothole detection on roads, enhancing safety and driving experience. π£οΈ
π Features:
- YOLOv8 Integration: Utilizes the cutting-edge YOLOv8 model for real-time, accurate pothole detection.
- FastAPI Backend: Leverages the speed and scalability of FastAPI, ensuring rapid responses and high concurrency.
- Real-Time Analysis: Processes live feeds πΉ from road surveillance for immediate pothole identification.
- RESTful API Design: Easy integration with various frontend technologies and third-party applications.
π€ Tech Stack:
- FastAPI: For building efficient, scalable server-side applications.
- YOLOv8: The latest in object detection, offering unparalleled accuracy and speed.
- Python π: Our primary programming language, ensuring ease of development and maintenance.
- Docker π³: For containerization, ensuring consistent environments across deployments.
π οΈ Installation & Usage:
- Clone the repository
- Set up the environment with Docker
- Deploy the FastAPI server
- Integrate with your existing road surveillance systems or test with provided sample data
π Endpoints:
/predict: Real-time pothole detection from image input
/models: List of Trained Models based on YOLOv8
/status: Health check and server status
π€ Contributing:
Contributions are welcome! Whether it's feature enhancements, bug fixes, or documentation, feel free to fork this repository and submit your pull requests. Let's make our roads safer, together! π
π FastAPI Server for YOLOv8 Pothole Detection Integration π³οΈ
π Overview:
This repository hosts an ultra-efficient π FastAPI server designed specifically for integrating with the powerful YOLOv8 model. Our goal is to revolutionize pothole detection on roads, enhancing safety and driving experience. π£οΈ
π Features:
π€ Tech Stack:
π οΈ Installation & Usage:
π Endpoints:
/predict: Real-time pothole detection from image input/models: List of Trained Models based on YOLOv8/status: Health check and server statusπ€ Contributing:
Contributions are welcome! Whether it's feature enhancements, bug fixes, or documentation, feel free to fork this repository and submit your pull requests. Let's make our roads safer, together! π