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.

翻译：我们描述了一种使用简单迭代规则半监督学习进行房地产图像标注的概念验证。在本研究中，我们获得了关于单个图像类别的内容特征与独特性，以及实际实现中关键要求的深刻见解。