Abstract
This paper presents TerraFirma, a multi-city dataset which captures street and sidewalk imagery from the pedestrians' perspective. Motivated by challenges in the realm of pedestrian safety, we present a diverse and extensive dataset that provides a foundation for the design and validation of pedestrian safety systems that rely on street-sidewalk imagery. The data was collected by 9 volunteers in 4 metropolitan cities across the world. Volunteers carried mobile cameras or smartphones in a texting position, such that the rear camera was directed to the ground in front of them. TerraFirma classifies images by the material used for street/sidewalk construction in each city. The detailed description of dataset accrual is accompanied by the public release of the dataset.
Cite
CITATION STYLE
Jain, S. (2020). Multi-city street-sidewalk imagery from pedestrian mobile cameras: Dataset. In DATA 2020 - Proceedings of the 3rd Workshop on Data Acquisition To Analysis, Part of SenSys 2020, BuildSys 2020 (pp. 20–22). Association for Computing Machinery, Inc. https://doi.org/10.1145/3419016.3431486
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