This repository provides a TensorFlow implementation of the ICNet paper for semantic segmentation, which generates a segmentation mask for every pixel in an image. The model is based on ResNet50 with three branches and auxiliary paths for multi-scale feature extraction. It includes pre-trained weights for Cityscapes and ADE20K datasets, along with training and inference code. Weights were converted from the original caffe implementation.