Traffic Sign Detection and Classification on the Austrian Highway Traffic Sign Data Set

Advanced Driver Assistance Systems rely on automated traffic sign recognition. Today, Deep Learning methods outperform other approaches in terms of accuracy and processing time; however, they require vast well-curated data sets for training. In this paper, we present the Austrian Highway Traffic Sign Data Set (ATSD), a comprehensive annotated set images almost all signs highways 2014, corresponding full scenes are contained in. Altogether, consists 7500 scene with more than 28,000 detailed annotations 100 distinct classes. It covers diverse environments, ranging from urban to rural mountainous areas, includes many recorded tunnels. We further evaluate state-of-the-art detectors classifiers ATSD establish baselines future experiments. The our baseline models freely available online.