{
 "id": "FraunhoferIOSB/Synset-Signset-Germany",
 "owner": "FraunhoferIOSB",
 "name": "Synset-Signset-Germany",
 "downloads": 177,
 "likes": 3,
 "last_modified": "2026-03-16T12:43:08.000Z",
 "stated_licence": "cc-by-4.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": "LICENSE",
 "file_licence": "cc-by-4.0",
 "licence_files": [
  "LICENSE"
 ],
 "sources": [],
 "gated": false,
 "tasks": [
  "image-classification",
  "image-segmentation"
 ],
 "citation": "<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->\n\nTo cite this dataset in your scientific work, please use the following bibliography entry:\n\n**BibTeX:**\n\n    @inproceedings{synset_signset_ger_sielemann_2024,\n      title={{Synset Signset Germany: A Synthetic Dataset for German Traffic Sign Recognition}},\n      author={Sielemann, Anne and Loercher, Lena and Schumacher, Max-Lion and Wolf, Stefan and Roschani, Masoud and Ziehn, Jens and Beyerer, Juergen},\n      booktitle={2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC)},\n      year={2024}\n    }\n\n**APA:**\n\n    Sielemann, A., Loercher, L., Schumacher, M., Wolf, S., Roschani, M., Ziehn, J., and Beyerer, J. (2024).\n    Synset Signset Germany: A Synthetic Dataset for German Traffic Sign Recognition.\n    In 2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC).\n\nIn case of copying and redistributing, or publishing an adapted version of our dataset, please provide the name of our dataset, the creator names, a copyright notice, \na link to this website, a license notice with a link to the license, and, if changes were made, a disclaimer notice, and a short description of the applied changes. \nFor example, as follows:\n\n    This work is based on the Synset Signset Germany Dataset\n    by Anne Sielemann, Lena Loercher, Max-Lion Schumacher, Stefan Wolf, Jens Ziehn, Masoud Roschani, and Juerge",
 "signal": "permissive",
 "reason": "The declared licence (cc-by-4.0) is classified as permissive.",
 "revision": "c5eb4d45d612c299a823f0bdf2ec1679eda9baa3",
 "stated_evidence": "https://huggingface.co/datasets/FraunhoferIOSB/Synset-Signset-Germany/blob/c5eb4d45d612c299a823f0bdf2ec1679eda9baa3/README.md",
 "file_evidence": "https://huggingface.co/datasets/FraunhoferIOSB/Synset-Signset-Germany/blob/c5eb4d45d612c299a823f0bdf2ec1679eda9baa3/LICENSE",
 "card_nc": false
}