Measuring and modelling perceptions of the built environment for epidemiological research using crowd-sourcing and image-based deep learning models.

ABSTRACT:

Background

Perceptions of the built environment, such as nature quality, beauty, relaxation, and safety, may be key factors linking the built environment to human health. However, few studies have examined these types of perceptions due to the difficulty in quantifying them objectively in large populations.

Objective

To measure and predict perceptions of the built environment from street-view images using crowd-sourced methods and deep learning models for application in epidemiologic studies.

Methods

We used the Amazon Mechanical-Turk crowdsourcing platform where participants compared two street-view images and quantified perceptions of nature quality, beauty, relaxation, and safety. We optimized street-view image sampling methods to improve the quality and resulting

SUBMITTER: Larkin A 

PROVIDER: S-EPMC9650176 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature