We introduce a new benchmark dataset of semantic urban meshes which covers about 4 km² in Helsinki (Finland), with six classes: Terrain, Vegetation, Building, Water, Vehicle, and Boat.

We have used Helsinki 3D textured meshes as input and annotated them as a benchmark dataset of semantic urban meshes. The Helsinki's raw dataset covers about 12 km² and was generated in 2017 from oblique aerial images that have about a 7.5 cm ground sampling distance (GSD) using an off-the-shelf commercial software namely ContextCapture.

The entire region of Helsinki is split into tiles, and each of them covers about 250 m². As shown in the figures below, we have selected the central region of Helsinki as the study area, which includes 64 tiles.