Majority voting across three commercial LLMs achieves roughly 88 percent accuracy in detecting six neighborhood-environment indicators from Google Street View images, below a trained YOLOv11 detector's 99 percent mAP50.
Analyzing associations between chronic disease prevalence and neighborhood quality through google street view images,
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Decoding Neighborhood Environments with Large Language Models
Majority voting across three commercial LLMs achieves roughly 88 percent accuracy in detecting six neighborhood-environment indicators from Google Street View images, below a trained YOLOv11 detector's 99 percent mAP50.