German Traffic Sign Recognition Benchmark (GTSRB) ================================================= --- FIDLE - Formation Introduction au Deep Learning 1/ Objectives ---------- Traffic sign classification with **CNN**, using Tensorflow and **Keras** 2/ About the dataset ----------------- Name : [German Traffic Sign Recognition Benchmark (GTSRB)](http://benchmark.ini.rub.de/?section=gtsrb) Available [here](https://sid.erda.dk/public/archives/daaeac0d7ce1152aea9b61d9f1e19370/published-archive.html) or on **[kaggle](https://www.kaggle.com/meowmeowmeowmeowmeow/gtsrb-german-traffic-sign)** A nice example from : [Alex Staravoitau](https://navoshta.com/traffic-signs-classification/) In few words : - Images : Variable dimensions, rgb - Train set : 39209 images - Test set : 12630 images - Classes : 0 to 42 3/ Episodes -------- 01 - Dataset preparation - Undestand the data 02 - First convolutions