Computer Vision

Deep Neural Networks are used to extract information from images. The Relevance, Type of Damage and the Severity is identified.

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Relevance

Since images in the extracted posts may be used in contexts unrelated to the disaster taking place, the first stage is to discard irrelevant images.

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Disaster Type

We use Deep Learning models to classify the relevant images into fire damage, natural damage, infrastructure damage, and flood damage.

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Severity

The damage depicted in the images is classified as mild and severe to assist rescue operations.

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