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Please note that due to Google's licensing terms, we cannot provide you with the street view and aerial images. However, following the dataset creation process outlined in section 3.2 and 3.3, you can easily download them yourself from Google's Cloud Platform.

Please cite this work when using the data or its derivatives:

@article{Mayer2022,
title = {Estimating building energy efficiency from street view imagery, aerial imagery, and land surface temperature data},
journal = {Applied Energy},
volume = {333},
pages = {120542},
year = {2023},
issn = {0306-2619},
doi = {https://doi.org/10.1016/j.apenergy.2022.120542},
url = {https://www.sciencedirect.com/science/article/pii/S0306261922017998},
author = {Kevin Mayer and Lukas Haas and Tianyuan Huang and Juan Bernabé-Moreno and Ram Rajagopal and Martin Fischer},
keywords = {Building energy efficiency, Decarbonization, Retrofitting, Remote sensing, End-to-end deep learning, Ablation study}
}