/Deep-Learning-Based-Structural-Damage-Detection

Structural damage detection using convolutional neural networks

Primary LanguagePythonMIT LicenseMIT

Deep Learning based Structural Damage Detection

Franklin Zhao

Project Summary

  1. Developed a damage identification and localization technique for civil structures using convolutional neural networks (based on LeNet-5, AlexNet-8, ZFNet-8, and GoogLeNet(inception v1)-22).

  2. Applied region-based convolutional neural networks (Faster-RCNN) to damage detection in real-time.

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