Deep learning-based building damage identification (IMAGE)

Hiroshima University

Deep learning-based building damage identification

Caption

This photo shows the distribution of damage estimated by the convolutional neural network model for Mashiki town in the 2016 Kumamoto earthquake (L) and Nishinomiya City in the 1995 Kobe earthquake (R). Hiroshima University researchers created a post-disaster damage assessment CNN model that does not need pre-disaster images to make an evaluation.

Credit

Hiroyuki Miura

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