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.
ACM Computing Survey55(13s), 284– 128425 (2023)
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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.