Quantifying the usage of small public spaces using deep convolutional neural network

Quantifying the usage of small public spaces using deep convolutional neural network

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Small public spaces are the key built environment elements that provide venues for various of activities. However, existing measurements or approaches could not efficiently and effectively quantify how small public spaces are being used. In this paper, we utilized a deep convolutional neural network...

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Bibliographic Details
Main Authors: Jingxuan Hou, Long Chen, Enjia Zhang, Haifeng Jia, Ying Long, Song Gao
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2020-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7531796/?tool=EBI

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