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.

Related publications
- Deep Convolutional Neural Networks for Classification in Comprehensive Structural Health Monitoring, IWSHM 2019
