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---
license: cc-by-4.0
task_categories:
- image-classification
- image-segmentation
language:
- en
tags:
- traffic sign recognition
- synthetic
- synset
- OCTAS
pretty_name: Synset Signset Germany - GTSRB Subset
---
<img src="synset-signset-germany-gtsrb-subset-title-image.png" width=100% />
# Synset Signset Germany - GTSRB Subset
<!-- Provide a quick summary of the dataset. -->
The GTSRB subset of the <em>Synset Signset Germany</em> dataset addresses the task of traffic sign recognition in Germany. It contains the same 43 traffic
sign classes as the well-known [GTSRB](https://ieeexplore.ieee.org/abstract/document/6033395) dataset and thus represents its “synthetic twin”. For each class, the dataset
contains 500 images, accumulating to 21,500 images in total.
**Website**: [synset.de/datasets/synset-signset-ger/](https://synset.de/datasets/synset-signset-ger/) <br>
**Paper:** Sielemann, A., Loercher, L., Schumacher, M. L., Wolf, S., Roschani, M., Ziehn, J. and Beyerer, J. (2024). [Synset Signset Germany: a Synthetic Dataset for German Traffic Sign Recognition](https://ieeexplore.ieee.org/abstract/document/10920175). In 2024 IEEE International Conference on Robotics and Automation (ICRA). [[arXiv](https://arxiv.org/abs/2512.05936)] <br>
**Authors:** [Anne Sielemann](https://www.linkedin.com/in/anne-sielemann-23011026a/), Lena Lörcher, Max-Lion Schumacher, [Stefan Wolf](https://www.linkedin.com/in/stefan-wolf-2552211a9/),
Masoud Roschani, [Jens Ziehn](https://www.linkedin.com/in/jrziehn/), and Juergen Beyerer. [Fraunhofer IOSB](https://www.iosb.fraunhofer.de/) and [Fraunhofer IPA](https://www.ipa.fraunhofer.de/), Germany. <br>
**Funded by:** [Fraunhofer](https://www.fraunhofer.de/en.html) Internal Programs under Grant No. PREPARE 40-02702 within the ML4Safety project and the [German Federal Ministry for Economic Affairs and Climate Action](https://www.bundeswirtschaftsministerium.de/Navigation/EN/Home/home.html), within the program “New Vehicle and System Technologies” as part of the [AVEAS](https://aveas.org/) research project. <br>
**License:** CC-BY 4.0 <br>
## Citation
<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
@inproceedings{synset_signset_ger_sielemann_2024,
title={{Synset Signset Germany: A Synthetic Dataset for German Traffic Sign Recognition}},
author={Sielemann, Anne and Loercher, Lena and Schumacher, Max-Lion and Wolf, Stefan and Roschani, Masoud and Ziehn, Jens and Beyerer, Juergen},
booktitle={2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC)},
year={2024}
}
**APA:**
Sielemann, A., Loercher, L., Schumacher, M., Wolf, S., Roschani, M., Ziehn, J., and Beyerer, J. (2024).<br>
Synset Signset Germany: A Synthetic Dataset for German Traffic Sign Recognition. <br>
In 2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC).
## Bias, Risks, and Limitations
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
<!-- Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. -->
It is recommended to use the dataset primarily for scientific research. Application to practical real-world use cases should include
human oversight and the exhaustive evaluation of the fitness for the respective purpose, including the impact of domain shifts.
## Dataset Card Contact
Anne Sielemann\
Fraunhofer IOSB\
Group »Automotive and Simulation«\
Fraunhoferstr. | 76131 Karlsruhe | Germany\
anne.sielemann@iosb.fraunhofer.de\
[www.iosb.fraunhofer.de](https://www.iosb.fraunhofer.de)
Jens Ziehn\
Fraunhofer IOSB\
Group leader »Automotive and Simulation«\
Fraunhoferstr. | 76131 Karlsruhe | Germany\
Phone +49 721 6091 – 633\
jens.ziehn@iosb.fraunhofer.de\
[www.iosb.fraunhofer.de](https://www.iosb.fraunhofer.de)