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

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, gender, education, occupation, unemployment, and other demographic factors. Although a comprehensive source of data, the l...

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Bibliographic Details
Published in:Proceedings of the National Academy of Sciences - PNAS 2017-12, Vol.114 (50), p.13108-13113
Main Authors: Gebru, Timnit, Krause, Jonathan, Wang, Yilun, Chen, Duyun, Deng, Jia, Aiden, Erez Lieberman, Fei-Fei, Li
Format: Article
Language:English
Subjects:
Automobiles
Automotive engineering
Cities
Computer Sciences
Computer vision
Data analysis
Data processing
Deep learning
Demographics
Demography
Digital imaging
Education
Employment
Gender
Labor
Machine vision
Motor vehicles
Neighborhoods
Physical Sciences
Pickup trucks
Race
Real time
Socioeconomic factors
Spatial discrimination
Spatial resolution
Statistical analysis
System effectiveness
Trucks
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