About the Journal
Nordic Machine Intelligence (NMI) is a non-commercial, open-access , peer-reviewed journal and thus qualifies to be a diamond open-access journal. The journal publishes original research articles, literature reviews, conference articles related to NORA's Norwegian and Nordic conferences, articles related to the NMI Challenge, statements and other educational material within all aspects of artificial intelligence.
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.
Go to our GitHub-page for more information regarding competitions and code related to Nordic Machine Intelligence.