This repository provides implementations of various deep learning architectures for semantic image segmentation in Keras. It includes popular models like SegNet, Fully Convolutional Networks (FCN), UNet, and PSPNet that perform pixel-level classification for tasks such as scene understanding and object delineation. The library offers both Python and CLI interfaces for model training and inference, and supports exporting trained models for deployment.