Deep Learning for Object Detection in Materials-Science Images: A tutorial

Deep neural networks and deep learning have achieved great success in many signal and image processing applications, especially those with large-scale annotated training data for supervised learning. Although in principle deep-learning methods can be applied to boost the performance of processing materials-science images, i.e., microscopic images that capture important microstructures of various m...