wolfgang-stefani/traffic-sign-classifier

This program uses a deep neural network with several convolutional layers to classify traffic signs. The model is able to recognize traffic signs with an accuracy of 96,2%. It was trained and validated using the German Traffic Sign Dataset with 43 classes (types of traffic signs) and more than 50,000 images in total.

traffic-sign-classifier's Issues

train.p is missing

Hi Wolfgang Stefani,

I was about to try out your TSR training and detection. However I hit a soon blocker because the training data set "train.p" is missing. Is it possible that you upload it? From my understanding it is essential and can not be easily reproduced without knowing the concrete structure of it.

Many thanks
Matthias Borner