Precision in Building Segmentation Competition Submission - Team UiAI
DOI:
https://doi.org/10.5617/nmi.10155Keywords:
artificial intelligence, machine learning, deep learning, autoencoders, computer vision, image segmentationAbstract
The MapAI competition "Precision in Building Segmentation"
tasked researchers with developing neural networks to segment
buildings in aerial images, using RGB and LiDAR image data
in a labeled dataset. This paper presents the Team UiAI sub-
mission for this competition. To solve the tasks, convolutional
auto-encoders with pretrained encoder backbones was trained
using only the competition provided dataset, and after the fi-
nal withheld dataset was released, the trained model achieved
65.58% score for task 1 and 83.16% for task 2.
Downloads
Published
2023-03-27
Issue
Section
NMI Challenge
License
Copyright (c) 2022 Nordic Machine Intelligence
![Creative Commons License](http://i.creativecommons.org/l/by/4.0/88x31.png)
This work is licensed under a Creative Commons Attribution 4.0 International License.