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

2023/09/26 by Despotovic, Miroslav, Zhang, Zedong, Stumpe, Eric +1
#68 #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #I.4.8

paper · doi:10.48550/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.

Related

• DoRA: Domain-Based Self-Supervised Learning Framework for Low-Resource Real Estate Appraisal
• Using Images as Covariates: Measuring Curb Appeal with Deep Learning
• Using ensemble methods of machine learning to predict real estate prices
• Real Estate Property Valuation using Self-Supervised Vision Transformers
• Towards Good Practices for Efficiently Annotating Large-Scale Image Classification Datasets