International Business Machines Corporation
Stub image generation for neural network training

Abstract:

In an approach to training image classification models through the creation and utilization of stub images, one or more computer processors tag ground truth data utilizing subject matter expert inputs for a classification. The one or more computer processors extract one or more features and one or more boundaries from the tagged ground truth data. The one or more computer processors tag the one or more extracted features and the one or more extracted boundaries. The one or more computer processors generate one or more stub images by incorporating the one or more tagged features, and the one or more tagged boundaries at a confidence level. The one or more computer processors train a classification model utilizing the one or more generated stub images. The one or more computer processors deploy the trained classification model.