Update README.md

README.md

@@ -8,16 +8,56 @@ language:
 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. -->
 
-**Download / more info**: [synset.de/datasets/synset-signset-ger/](https://synset.de/datasets/synset-signset-ger/)
+<!-- 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