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The paper discusses the challenges of road sign recognition using computer vision and neural networks, with a focus on the localization of recognized signs in relation to a control object. The issue of image generation for training the neural network on real, mixed, and synthetic data is examined, aiming to compare different approaches to neural network training.
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Kovalev et al. (2024) studied this question.
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