Machine Learning

Semantic Image Segmentation (Projects 8 & 9) Overview These two projects focus on semantic image segmentation  for intelligent vision systems, using real-world urban imagery from the Cityscapes dataset . The objective was to design, evaluate, and deploy deep learning models capable of assigning a semantic class to each pixel in an image, while carefully balancing segmentation accuracy, robustness, and inference performance . Across both projects, several architectures were im

(Full version available on the website) Project Background and Objective The goal of this project is to build a functional prototype of...