Published February 16, 2012 | Version v2
Dataset Open

GTSRB - German Traffic Sign Recognition Benchmark by Real-Time Computer Vision at Ruhr-Universität Bochum

Authors/Creators

  • 1. ROR icon University of Klagenfurt
  • 2. ROR icon Universität Innsbruck
  • 3. ROR icon SINTEF

Description

The German Traffic Sign Benchmark is a multi-class, single-image classification challenge held at the International Joint Conference on Neural Networks (IJCNN) 2011. 
Our benchmark has the following properties:
- Single-image, multi-class classification problem
- More than 40 classes
- More than 50,000 images in total
- Large, lifelike database

Acknowledgements: [INI Benchmark Website][1]
[1]: http://benchmark.ini.rub.de/

Files

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Additional details

Funding

European Commission
Extreme and Sustainable Graph Processing for Urgent Societal Challenges in Europe 101093202

Software

Repository URL
https://www.kaggle.com/datasets/meowmeowmeowmeowmeow/gtsrb-german-traffic-sign

References

  • Houben S, Stallkamp J, Salmen J, Schlipsing M, Igel C. Detection of traffic signs in real-world images: The German Traffic Sign Detection Benchmark. InThe 2013 international joint conference on neural networks (IJCNN) 2013 Aug 4 (pp. 1-8). Ieee.
  • Mehran N, Samani ZN, Kimovski D, Prodan R. Matching-based scheduling of asynchronous data processing workflows on the computing continuum. In2022 IEEE International Conference on Cluster Computing (CLUSTER) 2022 Sep 5 (pp. 58-70). IEEE.