AI model rapidly assesses flood building damage using satellite images

Researchers at the University of Osaka have developed a deep learning model for rapid building damage assessment after floods using satellite imagery. This research establishes the first systematic benchmark for this task and introduces a novel semi-supervised learning method, achieving 74% of fully supervised performance with just 10% of the labeled data.

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