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JOURNALS // Computer Optics // Archive

Computer Optics, 2016 Volume 40, Issue 2, Pages 294–300 (Mi co144)

This article is cited in 51 papers

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

Abstract: 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.

Keywords: traffic sign dataset, traffic sign classification and detection, cascade of weak classifiers, convolutional neural network.

Received: 10.07.2015
Revised: 25.02.2015

DOI: 10.18287/2412-6179-2016-40-2-294-300



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