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Zero-shot Building Age Classification from Facade Image Using GPT-4
April 16, 2024, 4:48 a.m. | Zichao Zeng, June Moh Goo, Xinglei Wang, Bin Chi, Meihui Wang, Jan Boehm
cs.CV updates on arXiv.org arxiv.org
Abstract: A building's age of construction is crucial for supporting many geospatial applications. Much current research focuses on estimating building age from facade images using deep learning. However, building an accurate deep learning model requires a considerable amount of labelled training data, and the trained models often have geographical constraints. Recently, large pre-trained vision language models (VLMs) such as GPT-4 Vision, which demonstrate significant generalisation capabilities, have emerged as potential training-free tools for dealing with specific …
abstract age applications arxiv building classification construction cs.ai cs.cv current data deep learning geospatial gpt gpt-4 however image images research training training data type zero-shot
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