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Algorithms based on neural network for segmentation of defects on metal sheet images

In recent years, the use of intelligent technologies in manufacturing has become more active. This article highlights our solution to the problem of developing neural network algorithms for segmentation of defects on metal sheet images. Our algorithms are based on the ResNet neural network model and other new variants of this. We have used the “Severstal” dataset in order to train algorithms. We have explored different variants of the neural network in order to find an optimal algorithm among reviewed variants of algorithms.