This repository provides a PyTorch implementation of the DeepLab v3+ architecture for semantic image segmentation. It supports multiple backbone networks including Modified Aligned Xception, ResNet, MobileNet, and DRN. The model can be trained and evaluated on standard computer vision datasets such as Pascal VOC 2012, SBD, Cityscapes, and COCO. Multi-GPU training is supported.