Semantic segments label each pixel of the chosen image with a corresponding class of what is being represented. This is also sometimes called a dense prediction because every pixel in the image is being predicted. Semantic segmentation is used for:. Autonomous vehicles . Medical image diagnostics . Industrial inspection . Classification of territory visible in satellite imagery.