Dmytro Kuzmenko

Can Vision-Language Models Assess Proxemic Risk from Egocentric Robot Images?

This work evaluates three opensource vision-language models on the classification of egocentric robot images into four danger levels, comparing three prompting strategies and two rounds of QLoRA fine-tuning against a stratified random baseline.