  A crucial part of any home is the roof over our heads to protect us from the
elements. In this paper we present the Zeitview Rooftop Geometry (ZRG) dataset
for residential rooftop understanding. ZRG is a large-scale residential rooftop
dataset of over 20k properties collected through roof inspections from across
the U.S. and contains multiple modalities including high resolution aerial
orthomosaics, digital surface models (DSM), colored point clouds, and 3D roof
wireframe annotations. We provide an in-depth analysis and perform several
experimental baselines including roof outline extraction, monocular height
estimation, and planar roof structure extraction, to illustrate a few of the
numerous potential applications unlocked by this dataset.

Computer Vision and Pattern Recognition;Machine Learning