ZRG: A Dataset for Multimodal 3D Residential Rooftop Understanding
This dataset enables improved analysis and applications in residential rooftop understanding, such as for inspections or urban planning, but it is incremental as it focuses on providing new data rather than novel methods.
The authors introduced the ZRG dataset, a large-scale collection of over 20k residential rooftop properties with multimodal data, to address the problem of 3D rooftop understanding, and they demonstrated its utility through experimental baselines for tasks like roof outline extraction and height estimation.
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.