2024
DOI: 10.3390/buildings14103255
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Effectiveness of Generative AI for Post-Earthquake Damage Assessment

João M. C. Estêvão

Abstract: After an earthquake, rapid assessment of building damage is crucial for emergency response, reconstruction planning, and public safety. This study evaluates the performance of various Generative Artificial Intelligence (GAI) models in analyzing post-earthquake images to classify structural damage according to the EMS-98 scale, ranging from minor damage to total destruction. Correct classification rates for masonry buildings varied from 28.6% to 64.3%, with mean damage grade errors between 0.50 and 0.79, while … Show more

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