This repository provides PyTorch implementations of semantic segmentation models for scene parsing on the MIT ADE20K dataset, which is the largest open-source dataset for semantic segmentation. The code includes training pipelines, pre-trained model weights, and a synchronized batch normalization module that computes statistics across multiple devices for improved segmentation accuracy. Users can run inference via a web demo, a Colab notebook, or by loading models programmatically.