Skip to content

Traffic Sign Recognition with Convolutional Neural Networks.

Notifications You must be signed in to change notification settings

Moodstocks/gtsrb

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

4 Commits
 
 

Repository files navigation

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)

About

Traffic Sign Recognition with Convolutional Neural Networks.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published