  The Me 163 was a Second World War fighter airplane and a result of the German
air force secret developments. One of these airplanes is currently owned and
displayed in the historic aircraft exhibition of the Deutsches Museum in
Munich, Germany. To gain insights with respect to its history, design and state
of preservation, a complete CT scan was obtained using an industrial
XXL-computer tomography scanner. Using the CT data from the Me 163, all its
details can visually be examined at various levels, ranging from the complete
hull down to single sprockets and rivets. However, while a trained human
observer can identify and interpret the volumetric data with all its parts and
connections, a virtual dissection of the airplane and all its different parts
would be quite desirable. Nevertheless, this means, that an instance
segmentation of all components and objects of interest into disjoint entities
from the CT data is necessary. As of currently, no adequate computer-assisted
tools for automated or semi-automated segmentation of such XXL-airplane data
are available, in a first step, an interactive data annotation and object
labelling process has been established. So far, seven 512 x 512 x 512 voxel
sub-volumes from the Me 163 airplane have been annotated and labelled, whose
results can potentially be used for various new applications in the field of
digital heritage, non-destructive testing, or machine-learning. This work
describes the data acquisition process of the airplane using an industrial
XXL-CT scanner, outlines the interactive segmentation and labelling scheme to
annotate sub-volumes of the airplane's CT data, describes and discusses various
challenges with respect to interpreting and handling the annotated and labelled
data.
