Coral Reef Health Monitoring

Coral Reef Health Monitoring

A computer vision system analyzes benthic imagery data to detect and identify various coral species. Utilizing advanced image processing techniques, the system is designed to monitor the health of coral reefs over time, thereby supporting and enhancing conservation efforts.
🧑🏾‍🏫 Manual 📖
  1. Image Selection: Choose an image from the examples provided below, or upload your own data.
  2. Run the ML model: Click the 'Submit' button to initiate the machine learning model.
  3. Visualize the results: The system will generate bounding boxes and segmentation masks for the detected coral species, each accompanied by a corresponding probability score.
  • 🛠️ Learn more about the project here.
  • The code is available here.
  • 🤗 The application is hosted here.