Deep_Drive_Image_Segmentation

Semantic segmentation has been a challenging computer vision problem since a few years. This related work includes a semantic segmentation neural network which combines the strengths of U-Net and residual learning for image segmentation. The network has a similar architecture to that of U-Net. In order to get an insight into the whole working procedure kindly find the attached report.

Please look at FinalReport.docx to check the project details.