{
 "id": "miriamcarnot/GTSIGN-220",
 "owner": "miriamcarnot",
 "name": "GTSIGN-220",
 "downloads": 302,
 "likes": 2,
 "last_modified": "2026-01-19T09:05:11.000Z",
 "stated_licence": "cc-by-sa-4.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": "cc-by-sa-4.0",
 "licence_files": [
  "LICENSE.txt"
 ],
 "sources": [],
 "gated": false,
 "tasks": [
  "image-classification",
  "object-detection"
 ],
 "citation": "This dataset is released under the **Creative Commons Attribution-ShareAlike 4.0 International ([CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/))** license.\n\nTo comply with the **Attribution (BY)** terms, you must credit both the dataset creators and the original source:\n\n1.  **Creators:** Miriam Louise Carnot, ScaDS.AI (University of Leipzig).\n2.  **Original Source:** Include the following statement:\n    > \"This work uses a dataset derived from street-level imagery from Mapillary (www.mapillary.com), originally contributed by 'Mapillary contributors' and licensed under CC BY-SA 4.0.\"\n\n---\n\n\nIf you use this dataset in your research, please cite the following paper:\n\n```bibtex\n@inproceedings{carnot_GTSIGN_2025,\n  author    = {Carnot, Miriam Louise and Fastermann, Erik and Kunze, Jonas and Peukert, Eric and Ludwig, André and Franczyk, Bogdan},\n  title     = {GTSIGN-220: A Crowd-Sourced, StVO-Aligned Benchmark for Fine-Grained German Traffic Sign Recognition},\n  booktitle = {Intelligent Vehicles Symposium (IV)},\n  year      = {2026}\n}",
 "signal": "permissive",
 "reason": "The declared licence (cc-by-sa-4.0) is classified as share-alike.",
 "revision": "e235536c26486a42858602b146df40520a75be59",
 "stated_evidence": "https://huggingface.co/datasets/miriamcarnot/GTSIGN-220/blob/e235536c26486a42858602b146df40520a75be59/README.md",
 "file_evidence": "https://huggingface.co/datasets/miriamcarnot/GTSIGN-220/blob/e235536c26486a42858602b146df40520a75be59/LICENSE.txt",
 "card_nc": false
}