Case Study: Ensemble Decision-Based Annotation of Unconstrained Real Estate Images
arXiv:2309.15097
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.
2 pages, 3 figures