Yet Another Computer Vision Index To Datasets (YACVID) - Details

Stand: 2017-10-17 000000m 20:57:08 - Overview

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Name (Institute + Shorttitle)German Traffic Sign Recognition Benchmark 
Description (include details on usage, files and paper references)The German Traffic Sign Recognition Benchmark is a dataset for multi-class detection problem in natural images and do cordially invite you to participate. The benchmark has the following properties:

* single-image detection problem
* images with zero to three relevant objects
* 900 images (divided in 600 training and 300 evaluation images)
* division in three categories
* industry-relevant application: traffic sign detection

@inproceedings{Houben-IJCNN-2013,
author = {Sebastian Houben and Johannes Stallkamp and Jan Salmen and Marc Schlipsing and Christian Igel},
booktitle = {International Joint Conference on Neural Networks (submitted)},
title = {Detection of Traffic Signs in Real-World Images: The {G}erman {T}raffic {S}ign {D}etection {B}enchmark},
year = {2013},
URL Linkhttp://benchmark.ini.rub.de/ 
Files (#)
References (SKIPPED)
Category (SKIPPED)Traffic Sign, Detection 
Tags (single words, spaced)detection, traffic, urban, recognition 
Last Changed2017-10-17 
Turing (2.12+3.25=?) :-)