IMAGE PROCESSING, PATTERN RECOGNITION
Russian traffic sign images dataset
V. I. Shakhuroa, A. S. Konushinba
a NRU Higher School of Economics, Moscow, Russia
b Lomonosov Moscow State University, Moscow, Russia
A new public dataset of traffic sign images is presented. The dataset is intended for training and testing the algorithms of traffic sign recognition. We describe the dataset structure and guidelines for working with the dataset, comparing it with the previously published traffic sign datasets. The evaluation of modern detection and classification algorithms conducted using the proposed dataset has shown that existing methods of recognition of a wide class of traffic signs do not achieve the accuracy and completeness required for a number of applications.
traffic sign dataset, traffic sign classification and detection, cascade of weak classifiers, convolutional neural network.
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V. I. Shakhuro, A. S. Konushin, “Russian traffic sign images dataset”, Computer Optics, 40:2 (2016), 294–300
Citation in format AMSBIB
\by V.~I.~Shakhuro, A.~S.~Konushin
\paper Russian traffic sign images dataset
\jour Computer Optics
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