This repository provides the easiest implementation of FCNs for semantic segmentation, based on the CVPR 2015 best paper. It supports training on benchmark datasets including CamVid and Cityscapes. The model converts traditional CNNs into fully convolutional networks to produce spatial output maps for pixel-wise prediction.