Using deep learning and Google Street View to estimate the demographic makeup of neighborhoods across the United States

T Gebru, J Krause, Y Wang, D Chen… - Proceedings of the …, 2017 - National Acad Sciences
The United States spends more than $250 million each year on the American Community
Survey (ACS), a labor-intensive door-to-door study that measures statistics relating to race …

Fine-grained car detection for visual census estimation

T Gebru, J Krause, Y Wang, D Chen, J Deng… - Proceedings of the …, 2017 - ojs.aaai.org
Targeted socio-economic policies require an accurate understanding of a country's
demographic makeup. To that end, the United States spends more than 1 billion dollars a …

Urban visual intelligence: Uncovering hidden city profiles with street view images

Z Fan, F Zhang, BPY Loo… - Proceedings of the …, 2023 - National Acad Sciences
A longstanding line of research in urban studies explores how cities can be understood
through their appearance. However, what remains unclear is to what extent urban dwellers' …

A deep learning approach for population estimation from satellite imagery

C Robinson, F Hohman, B Dilkina - Proceedings of the 1st ACM …, 2017 - dl.acm.org
Knowing where people live is a fundamental component of many decision making
processes such as urban development, infectious disease containment, evacuation …

Combining expert and crowd-sourced training data to map urban form and functions for the continental US

M Demuzere, S Hankey, G Mills, W Zhang, T Lu… - Scientific data, 2020 - nature.com
Although continental urban areas are relatively small, they are major drivers of
environmental change at local, regional and global scales. Moreover, they are especially …

The dollar street dataset: Images representing the geographic and socioeconomic diversity of the world

WAG Rojas, S Diamos, KR Kini, D Kanter… - … -sixth Conference on …, 2022 - openreview.net
It is crucial that image datasets for computer vision are representative and contain accurate
demographic information to ensure their robustness and fairness, especially for smaller …

Social sensing from street-level imagery: A case study in learning spatio-temporal urban mobility patterns

F Zhang, L Wu, D Zhu, Y Liu - ISPRS journal of photogrammetry and …, 2019 - Elsevier
Street-level imagery has covered the comprehensive landscape of urban areas. Compared
to satellite imagery, this new source of image data has the advantage in fine-grained …

Visual analytics in urban computing: An overview

Y Zheng, W Wu, Y Chen, H Qu… - IEEE Transactions on Big …, 2016 - ieeexplore.ieee.org
Nowadays, various data collected in urban context provide unprecedented opportunities for
building a smarter city through urban computing. However, due to heterogeneity, high …

Take a look around: using street view and satellite images to estimate house prices

S Law, B Paige, C Russell - ACM Transactions on Intelligent Systems …, 2019 - dl.acm.org
When an individual purchases a home, they simultaneously purchase its structural features,
its accessibility to work, and the neighborhood amenities. Some amenities, such as air …

Urban form and composition of street canyons: A human-centric big data and deep learning approach

A Middel, J Lukasczyk, S Zakrzewski, M Arnold… - Landscape and Urban …, 2019 - Elsevier
Various research applications require detailed metrics to describe the form and composition
of cities at fine scales, but the parameter computation remains a challenge due to limited …