SIMMI: Synthetic Images for Medieval Musical Iconography

This paper presents a method for generating synthetic images of medieval musical iconography to address the scarcity of available visual resources. The focus of this paper is to outline the methodology used to create a synthetic dataset of medieval musical instruments. Quantitative analysis and performance evaluation of machine learning models trained using this dataset will be explored in a future publication. The methodology 1 for generating synthetic images is made publicly available to support ongoing research and education in medieval studies and digital humanities.