GTSIGN-220: German Traffic Signs for Fine-Grained Recognition

75,541 images of German traffic signs serve as a benchmark for fine-grained recognition. The dataset is a derivative of street-level imagery from Mapillary, aligned with German Road Traffic Regulations (StVO). It was created by miriamcarnot and last updated on 2026-01-19.

Use Cases

• Fine-grained traffic sign classification based on the 75,541 annotated images.
• Benchmarking computer vision models for road sign detection and recognition.
• Training models for autonomous driving systems on German road regulations.
• Analyzing traffic sign distribution and types from street-level imagery.

Strengths

• Contains 75,541 images, providing a substantial volume for model training.
• Specifically designed as a benchmark for fine-grained recognition tasks.
• Strictly aligned with the German Road Traffic Regulations (StVO).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last updated 2026-01-19 09:05:11; freshness should be verified.

Provenance

Source

Mapillary street-level imagery.

Collection Method

Crowd-sourced derivative work.

Freshness

2026-01-19

Geography

Germany