Automated Corrosion Detection Using Crowdsourced Training for Deep Learning

The automated detection of corrosion from images (i.e., photographs) or video (i.e., drone footage) presents significant advantages in terms of corrosion monitoring. Such advantages include access to remote locations, mitigation of risk to inspectors, cost savings, and monitoring speed. The automated detection of corrosion requires deep learning to approach human level intelligence. Training of a deep learning model requires intensive image...