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Case Study: Ensemble Decision-Based Annotation of Unconstrained Real Estate Images

Computer Vision and Pattern Recognition 2023-09-27 v1
Authors: Miroslav Despotovic , Zedong Zhang , Eric Stumpe , Matthias Zeppelzauer
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Abstract

We describe a proof-of-concept for annotating real estate images using simple iterative rule-based semi-supervised learning. In this study, we have gained important insights into the content characteristics and uniqueness of individual image classes as well as essential requirements for a practical implementation.

Keywords

image annotation real estate images semi-supervised learning rule-based ensemble decision

Cite

@article{arxiv.2309.15097,
  title  = {Case Study: Ensemble Decision-Based Annotation of Unconstrained Real Estate Images},
  author = {Miroslav Despotovic and Zedong Zhang and Eric Stumpe and Matthias Zeppelzauer},
  journal= {arXiv preprint arXiv:2309.15097},
  year   = {2023}
}

Comments

2 pages, 3 figures

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