Our work with the title Visual Comparison of Multi-label Classification Results concerns artificial intelligences that classify data items into different categories. The items can belong to multiple categories and, therefore, relationships are created between categories based on their mutual assignment. For each AI we visualize these relationships and compare them with the relationships of other AIs. This way we determine to which degree the classification of items overlap. We use application examples to demonstrate the different opinions of AIs with regard to detected food items in pictures and suggested genres for movies based on their posters.

The work was created in collaboration with the Luxembourg Institute of Science and Technology (LIST). It was presented at the VMV 2021 conference and the recorded talk is available on our youtube channel.