The article describes an experiment on the compilation of a training sample, training and testing of a neural network model of a computer vision system for detecting burns of a tundish nozzle at a continuous steel casting plant. The issue of validity of augmentation of data for training is considered. The obtained results are analyzed.
Keywords: computer vision, object detection, dataset, augmentation, steelmaking, continuous steel casting, burnout of a tundish nozzle