This dataset extends the Urban Semantic 3D (US3D) dataset developed and first released for the 2019 IEEE GRSS Data Fusion Contest (DFC19). We provide additional geographic tiles to supplement the DFC19 training data and also new data for each tile to enable training and validation of models to predict geocentric pose, defined as an object's height above ground and orientation with respect to gravity. We also add to the DFC19 data from Jacksonville, Florida and Omaha, Nebraska with new geographic tiles from Atlanta, Georgia.

DOI Link: 
10.21227/9frn-7208
Links: 
JHU/APL projects on GitHub
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Dataset Files

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[1] Kevin Foster, Gordon Christie, Myron Brown, "Urban Semantic 3D Dataset", IEEE Dataport, 2020. [Online]. Available: http://dx.doi.org/10.21227/9frn-7208. Accessed: Dec. 21, 2024.
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doi = {10.21227/9frn-7208},
url = {http://dx.doi.org/10.21227/9frn-7208},
author = {Kevin Foster; Gordon Christie; Myron Brown },
publisher = {IEEE Dataport},
title = {Urban Semantic 3D Dataset},
year = {2020} }
TY - DATA
T1 - Urban Semantic 3D Dataset
AU - Kevin Foster; Gordon Christie; Myron Brown
PY - 2020
PB - IEEE Dataport
UR - 10.21227/9frn-7208
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Kevin Foster, Gordon Christie, Myron Brown. (2020). Urban Semantic 3D Dataset. IEEE Dataport. http://dx.doi.org/10.21227/9frn-7208
Kevin Foster, Gordon Christie, Myron Brown, 2020. Urban Semantic 3D Dataset. Available at: http://dx.doi.org/10.21227/9frn-7208.
Kevin Foster, Gordon Christie, Myron Brown. (2020). "Urban Semantic 3D Dataset." Web.
1. Kevin Foster, Gordon Christie, Myron Brown. Urban Semantic 3D Dataset [Internet]. IEEE Dataport; 2020. Available from : http://dx.doi.org/10.21227/9frn-7208
Kevin Foster, Gordon Christie, Myron Brown. "Urban Semantic 3D Dataset." doi: 10.21227/9frn-7208