Search enginges enable quick and targeted access to stored content on the Internet. However, the prerequisite for this is that this content is described using keywords or metadata.
When searching for maps, the names or map types are typically used as keywords. However, if you want to access map content, for example maps containing deciduous forests, it is necessary that this map content is also described using metadata. Similarly, such descriptions are also necessary to provide access for blind people or people with visual impairments
This is where the master thesis comes in: deep learning methods are to be used to perform a so-called semantic segmentation of the map content into several land use classes. This information is then to be described in a suitable form as metadata and added to the data.
