Open AccessPredicting Livelihood Indicators from Community-Generated Street-Level Imagery
Author(s) -
Jihyeon Lee,
Dylan Grosz,
Burak Uzkent,
Sicheng Zeng,
Marshall Burke,
David B. Lobell,
Stefano Ermon
Publication year - 2021
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - Uncategorized
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v35i1.16101
Subject(s) - livelihood , computer science , scalability , poverty , data science , population , scale (ratio) , graph , geography , data mining , database , cartography , political science , demography , archaeology , theoretical computer science , sociology , law , agriculture
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