A Visual Analytics Framework for Composing a Hierarchical Classification for Medieval Illuminations. (arXiv:2208.09657v1 [cs.CV])

Annotated data is a requirement for applying supervised machine learning
methods, and the quality of annotations is crucial for the result. Especially
when working with cultural heritage collections that inhere a manifold of
uncertainties, annotating data remains a manual, arduous task to be carried out
by domain experts. Our project started with two already annotated sets of
medieval manuscript images which however were incomplete and comprised
conflicting metadata based on scholarly and linguistic differences. Our aims
were to create (1) …

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