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.

MapAI 是一个在 2022 年秋季与挪威人工智能研究联盟（NORA）、Agder 大学人工智能研究中心（CAIR）、挪威测绘局、AI:Hub、Norkart 和丹麦数据供应和基础设施局合作举办的比赛，专注于利用航空影像和激光数据对建筑物进行分割。它将于北极光深度学习会议上结束。我们提供两个不同的任务来分割建筑物，第一个任务只能利用航空影像，而第二个任务必须使用激光数据（LiDAR）与或无航空影像。此外，我们使用 IoU 和 Boundary IoU 来正确评估模型的精度，后者是一种评估结果边界的 IoU 度量。我们为参与者提供训练数据集，并保留测试数据集进行评估。