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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

Capucine (11) and Clotilde (8) have finally come back to me, ready to seriously learn how to code! We had previously started exploring...

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