A subset of 124 images has been selected from the DocExplore dataset  in order to create a detection dataset of drawings in medieval manuscripts. Since the original dataset has been published without providing any annotations, we selected and annotated 8 different patterns in the subset, which resulted in a total of 268 annotated instance.

The dataset has been split into three sub-sets (train, validation, test) in order to follow the standard procedure followed by modern deep-learning models. Furthermore, each image has one corresponding ".xml" file containing the annotation information of drawings in that image using the Pascal Voc format.

The research for this work was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy – EXC 2176 ‘Understanding Written Artefacts: Material, Interaction and Transmission in Manuscript Cultures', project no. 390893796. The research was conducted within the scope of the Centre for the Study of Manuscript Cultures (CSMC) at Universität Hamburg.

In addition, we thank Aneta Yotova for annotating the samples in this dataset.