Usage of convolutional neural network ensemble for traffic sign recognition

The article suggests using an ensemble of convolutional neural networks for the recognition of road signs, which is a modification of a robust recognition method based on deep learning neural networks. This ensemble improves the speed of the robust recognition method, and also allows you to increase the speed while maintaining high recognition accuracy by removing values from the data set that do not represent a payload. Contribution of the authors: the authors contributed equally to this article. The authors declare no conflicts of interests.

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