RUSSIAN TRAFFIC SIGN IMAGES DATASET

被引：17

作者：

Shakhuro, V. I. ^{[1
]}

Konushin, A. S. ^{[2
]}

机构：

[1] NRU Higher Sch Econ, Moscow, Russia

[2] Lomonosov Moscow State Univ, Moscow, Russia

来源：

COMPUTER OPTICS | 2016年 / 40卷 / 02期

关键词：

traffic sign dataset; traffic sign classification and detection; cascade of weak classifiers; convolutional neural network;

D O I：

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

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

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.

引用

页码：294 / 300

页数：7

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