2019

The Mapillary Traffic Sign Dataset for Detection and Classification on a Global Scale

Ertler, Christian, Mislej, Jerneja, Ollmann, Tobias et al.

Understand

Traffic signs are essential map features globally in the era of autonomous driving and smart cities.

To develop accurate and robust algorithms for traffic sign detection and classification, a large-scale and diverse benchmark dataset is required.
In this paper, we introduce a traffic sign benchmark dataset of 100K street-level images around the world that encapsulates diverse scenes, wide coverage of geographical locations, and varying weather and lighting conditions and covers more than 300 manually annotated traffic sign classes.
The dataset includes 52K images that are fully annotated and 48K images that are partially annotated.

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