| 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},
} |
|