Predicting Depression and Anxiety Risk in Dutch Neighborhoods from Street-View Images ...
Depression and anxiety disorders are prevalent mental health challenges affecting a substantial segment of the global population. In this study, we explored the environmental correlates of these disorders by analyzing street-view images (SVI) of neighborhoods in the Netherlands. Our dataset comprises 9,879 Dutch SVIs sourced from Google Street View, paired with statistical depression and anxiety risk metrics from the Dutch Health Monitor. To tackle this challenge, we refined two existing neural network architectures, DeiT Base and ResNet50. Our goal was to predict neighborhood risk levels, cat... Mehr ...
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Dokumenttyp: | article-journal |
Erscheinungsdatum: | 2024 |
Verlag/Hrsg.: |
arXiv
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Schlagwörter: | Computer Vision and Pattern Recognition cs.CV / Artificial Intelligence cs.AI / Machine Learning cs.LG / FOS: Computer and information sciences |
Sprache: | unknown |
Permalink: | https://search.fid-benelux.de/Record/base-28980423 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://dx.doi.org/10.48550/arxiv.2407.09547 |