Train and Deploy an Image Classifier for Disaster Response

12 May 2020Jianyu MaoKiana HarrisNae-Rong ChangCaleb PennellYiming Ren

With Deep Learning Image Classification becoming more powerful each year, it is apparent that its introduction to disaster response will increase the efficiency that responders can work with. Using several Neural Network Models, including AlexNet, ResNet, MobileNet, DenseNets, and 4-Layer CNN, we have classified flood disaster images from a large image data set with up to 79% accuracy... (read more)

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