Sematic Image Segmentation

Semantic Image Segmentation is Computer Vision Task in which we should label each pixel depending on what is being shown For this we use the UNet Architecture This architecture was implemented in Pytorch and was train on CARAVANA Dataset This model was train to identify cars from surroundings and obtained 0.986 F1 score