GTSRB Challenge

a.k.a German Traffic Sign Recognition Benchmark 🇩🇪 ⛔ 🚳 🚫 ...

Goal

Use Torch to train and evaluate a 2-stage convolutional neural network able to classify German traffic sign images (43 classes):

• fork the repository under your account,
• go to Settings > Features and enable Issues,
• create an issue under your repo describing your approach,
• report your result(s),
• commit your code,
• edit the README with pre-requisites and usage,
• boost accuracy by experimenting the multi-scale architecture,
• compare with the results obtained in matching mode (i.e use the features with a distance-based search).

Paper

Traffic Sign Recognition with Multi-Scale Convolutional Networks, by Yann LeCun et al.

Dataset

Training

http://benchmark.ini.rub.de/Dataset/GTSRB_Final_Training_Images.zip (263 MB)

Testing

http://benchmark.ini.rub.de/Dataset/GTSRB_Final_Test_Images.zip (84 MB) http://benchmark.ini.rub.de/Dataset/GTSRB_Final_Test_GT.zip (98 kB)