MapAI: Precision in Building Segmentation
Sander Riisøen Jyhne Morten Goodwin Per Arne Andersen Ivar Oveland Alexander Salveson Nossum Karianne Ormseth Mathilde Ørstavik Andrew C. Flatman
MapAI: Precision in Building Segmentation is a competition arranged with the
Norwegian Artificial Intelligence Research Consortium (NORA) in collaboration
with Centre for Artificial Intelligence Research at the University of Agder
(CAIR), the Norwegian Mapping Authority, AI:Hub, Norkart, and the Danish Agency
for Data Supply and Infrastructure. The competition will be held in the fall of
2022. It will be concluded at the Northern Lights Deep Learning conference
focusing on the segmentation of buildings using aerial images and laser data.
We propose two different tasks to segment buildings, where the first task can
only utilize aerial images, while the second must use laser data (LiDAR) with
or without aerial images. Furthermore, we use IoU and Boundary IoU to properly
evaluate the precision of the models, with the latter being an IoU measure that
evaluates the results' boundaries. We provide the participants with a training
dataset and keep a test dataset for evaluation.