Is Medieval Distant Viewing Possible? : Extending and Enriching Annotation of Legacy Image Collections using Visual Analytics

arXiv:2208.09657v2 Announce Type: replace
Abstract: Distant viewing approaches have typically used image datasets close to the contemporary image data used to train machine learning models. To work with images from other historical periods requires expert annotated data, and the quality of labels is crucial for the quality of results. Especially when working with cultural heritage collections that contain myriad uncertainties, annotating data, or re-annotating, legacy data is an arduous task. In this paper, we describe working with two pre-annotated sets …

abstract analytics annotated data annotation arxiv cs.cv cs.hc data datasets expert image image data image datasets images labels machine machine learning machine learning models quality train type visual visual analytics work