Fine-tuning Gemma 3 27B on modest human-labeled street-view data yields building condition scores that align with and sometimes exceed individual human raters on correlation metrics, with knowledge distillation producing comparable smaller LLM, CNN, and transformer models.
In: Proceedings of Interna- tional Symposium on Visual Computing, pp
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Leveraging Multimodal LLMs for Built Environment and Housing Attribute Assessment from Street-View Imagery
Fine-tuning Gemma 3 27B on modest human-labeled street-view data yields building condition scores that align with and sometimes exceed individual human raters on correlation metrics, with knowledge distillation producing comparable smaller LLM, CNN, and transformer models.