Multi-Class-Segmentation-of-Flood-imagery

The goal of this project is to build a semantic segmentation pipeline trained on the FloodNet dataset. The task involves classifying each pixel into one of 10 distinct classes, using aerial drone imagery captured in the aftermath of Hurricane Harvey, which caused extensive flooding.