Data augmentation for improved and more robust computer vision models

For training of machine learning / computer vision models, generally a large annotated training set is needed. However, it can be hard both to gather a large enough dataset and to annotate the images. Training set augmentation is a common and very effective method to address these issues. It consists of creating new images from […]