10.5061/DRYAD.2280GB5QJ
Jain, Shubham
0000-0002-4864-6420
Stony Brook University
Multi-city street-sidewalk imagery from pedestrian mobile cameras
Dryad
dataset
2020
2020-10-26T00:00:00Z
2020-10-26T00:00:00Z
en
https://doi.org/10.1145/3419016.3431486
https://doi.org/10.1109/TMC.2018.2868659
5454835201 bytes
2
CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
We present 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.