README.md

---
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
---

<img src="synset-signset-germany-title-image.png" width=100% />

# Synset Signset Germany

<!-- Provide a quick summary of the dataset. -->
The <em>Synset Signset Germany</em> dataset addresses the task of traffic sign recognition in Germany. It contains a total of 105,500 images of 211 different
German traffic sign classes, including newly published (2020) and thus comparatively rare traffic signs. The subset of the first 43 classes in the dataset aims to represent 
a “synthetic twin” of the well-known [GTSRB](https://ieeexplore.ieee.org/abstract/document/6033395) dataset.

**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)