Image Classification of Paris Bible Data

Yasmin Hawar Abo Bakir Shuan, Christofer Meinecke, Stefan Jänicke

Abstract: We collaborated with domain professionals who were interested in classifying images in Paris Bibles according to biblical figures appearing in illustrations and their hand gestures. We applied neural networks paired with data balancing techniques on three distinct classification tasks. Our goal was to assess the applicability of supervised learning for these tasks.