MapAI Competition Submission for Team Kaborg

Using stable diffusion for ML image augmentation

Authors

  • Karl Audun Borgersen Universitetet i Agder
  • Morten Grundetjern

DOI:

https://doi.org/10.5617/nmi.10150

Keywords:

artificial intelligence, map segmentation, deep learning, dataset augmentation

Abstract

This paper constitutes the final portion of our submission to
the MapAI image segmentation competition [1]. We introduce
a Stable Diffusion(SD) [2] model with a particular emphasis
on augmenting image segmentation datasets. Due to an
unfortunate mistake made during the training of our model
iterations, the benefits of these techniques are not reflected in
the final submission score. We reach only a combined score
of 0.62. Nevertheless, the method shows potential and can be
applied to accurate image segmentation in future projects

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Published

2023-03-27

Issue

Section

NMI Challenge