  Building recognition and 3D reconstruction of human made structures in urban
scenarios has become an interesting and actual topic in the image processing
domain. For this research topic the Computer Vision and Augmented Reality areas
intersect for creating a better understanding of the urban scenario for various
topics. In this paper we aim to introduce a dataset solution, the TMBuD, that
is better fitted for image processing on human made structures for urban scene
scenarios. The proposed dataset will allow proper evaluation of salient edges
and semantic segmentation of images focusing on the street view perspective of
buildings. The images that form our dataset offer various street view
perspectives of buildings from urban scenarios, which allows for evaluating
complex algorithms. The dataset features 160 images of buildings from
Timisoara, Romania, with a resolution of 768 x 1024 pixels each.
