Structural Image Detection and Classification

Overview

Multi-class detection and classification of structural elements and damage in civil infrastructure imagery, built on convolutional networks and transfer learning from large-scale pretrained backbones — a practical route to strong accuracy on the relatively small labelled datasets typical of structural health monitoring.

Transfer learning for structural image classification

Related publications

  • Deep Convolutional Neural Networks for Classification in Comprehensive Structural Health Monitoring, IWSHM 2019