SEMANTIC IMAGE SEGMENTATION OF CONVOLUTIONAL NEURAL NETWORKS
Semantic segmentation of images has a wide range of applications from recognition of the stage and establishment of connections between the objects to autonomous driving. This article presents the image processing technology using the convolutional neural network with SegNet architecture, trained on the manually marked samples that include two classes - the object (person) and the background.