AI-Assisted Metadata Enhancement for Digital Image Collections: A Pilot Study of Vision-Enabled Language Models in Cultural Heritage Description
This study evaluates the efficacy of Large Vision-Language Models (LVLMs) for remediating and creating metadata within the Pittsburgh City Photographer Collection. By comparing outputs from several OpenAI and Google Gemini models against a human-remediated baseline, the research identifies a significant performance gap...