Updated README

aarcosg · Oct 18, 2018 · f21a9c1 · f21a9c1
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 The paper addresses the problem of traffic sign classification using a Deep Neural Network which comprises Convolutional layers and Spatial Transfomer Networks. The model reports an accuracy of 99.71% in the [German Traffic Sign Recognition Benchmark](http://benchmark.ini.rub.de/?section=gtsrb&subsection=results).
+![Model architecture](cnn3st_architecture.png?raw=True "Model architecture")
 
 We provide:
 - A [pretrained model](#pretrained-model).

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