Developed a semantic image segmentation system for post-hurricane disaster assessment using UAV imagery, achieving 62.65% accuracy with SeResNet architecture. The project successfully identified and localized 27 different asset classes in residential areas, providing crucial support for disaster relief efforts in the Houston region after Hurricane Harvey.