Studying geospatial urban visual appearance and diversity to understand social phenomena

Studying geospatial urban visual appearance and diversity to understand social phenomena

Bibliographic Details
Main Author:	Amiruzzaman, Md
Language:	English
Published:	Kent State University / OhioLINK 2021
Subjects:	Computer Science Computational framework,deep learning,inter-rater reliability,machine learning,statistics,street view images,visual appearance,visual diversity
Online Access:	http://rave.ohiolink.edu/etdc/view?acc_num=kent1618904789316283

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