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GTSIGN-220: A Crowd-Sourced, StVO-Aligned Dataset of German Traffic Signs

Image Example for each Class

GTSIGN-220 (German Traffic SIGNs) is a comprehensive dataset containing 75,541 images of traffic signs in Germany. It is specifically designed as a benchmark for fine-grained recognition, strictly aligned with the German Road Traffic Regulations (StVO).

The dataset is a derivative work of street-level imagery sourced from Mapillary. The individual image files of the signs are named so that the numbers before the first underscore correspond to the ID of the complete image from Mapillary. This allows the full image to be downloaded via the API.


πŸ“Š Dataset Summary

Feature Description
Total Images 75,541
Classes 220 (StVO-aligned)
Geography Germany
Data Split Train, Validation, and Test sets
Format Folders organized by class label

πŸ“œ License & Attribution

This dataset is released under the Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) license.

Derivative Work Notice

This dataset is a derivative work of street-level imagery originally sourced from Mapillary. In accordance with the "ShareAlike" (SA) provision of the original license, this dataset is released under the same CC BY-SA 4.0 terms.

Required Attributions

To comply with the Attribution (BY) terms, you must credit both the dataset creators and the original source:

  1. Creators: Miriam Louise Carnot, ScaDS.AI (University of Leipzig).
  2. Original Source: Include the following statement:

    "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."


πŸ“– Citation

If you use this dataset in your research, please cite the following paper:

@inproceedings{carnot_GTSIGN_2025,
  author    = {Carnot, Miriam Louise and Fastermann, Erik and Kunze, Jonas and Peukert, Eric and Ludwig, AndrΓ© and Franczyk, Bogdan},
  title     = {GTSIGN-220: A Crowd-Sourced, StVO-Aligned Benchmark for Fine-Grained German Traffic Sign Recognition},
  booktitle = {Intelligent Vehicles Symposium (IV)},
  year      = {2026}
}
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