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Detecting damaged buildings using real-time crowdsourced images and transfer learning

This paper presents an automated way to extract the damaged buildings images after earthquakes from social media platforms such as Twitter and thus identify the particular user posts containing such images. After significant earthquakes, we can see images posted on social media platforms by individuals and media agencies owing to the mass usage of…

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