Coastline Habitat Segmentation

This project uses U-Net and VGG16 convolutional neural network models to segment sattelite imagery of Guam's coastline. Its main use is to identify regions of critical, but rare seagrass in large habitats.

View a writeup here, and view the codebase on github.