Interactive Machine Learning

In designing computer vision and machine learning-based systems, there are many cases that it is not enough to consider only the application of trained models. It is crucial to have an interactive framework for letting users create their own recognition models. To make machine learning a democratized tool for general users, we investigate visualization and interaction techniques for interactive machine learning. We are challenging this issue through system development, user evaluation, and workshop studies.