Fully Convolutional Neural Networks for Image Segmentation

This project demonstrates the use of Fully Convolutional Neural Networks (FCNs) for pixel-wise image segmentation. We train an FCN-8 model on a custom dataset. This dataset contains video frames captured from a moving vehicle and is a subset of the CamVid dataset, providing real-world segmentation examples.