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}, }

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