Monitoring infrastructure quality in developing regions is a major goal for international aid organizations, unfortunately gathering up to date and reliable data is expensive and a time-consuming process. To alleviate the burden on aid organizations, researchers from Stanford University developed a deep learning-based method that can assess infrastructure quality from satellite imagery.
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