Abstract
In this paper, a comparative analysis of various approaches to solving the problem of identifying textiles, by the photo image of the material, using machine learning methods is carried out. The mathematical model underlying the software implementation is considered. The model is tested on an additional data set using methods of explainability of the work of neural networks.
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