There are three levels in image analysis, Classification, Detection and
Segmentation. Image segmentation is the division of an image into
regions or categories. The goal of segmentation is to simplify and/or
change the representation of an image into something that is more
meaningful and easier to analyze. Semantic segmentation describes
the process of associating each pixel of an image with a class label.
Semantic segmentation achieves fine-grained inference by making
dense predictions inferring labels for every pixel, so that each pixel is
labelled with the class of its enclosing object ore region.