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The ICG Graz240 dataset consists of 240 buildings with 5400 redundant images with a total of 5542 window instances. Window detection itself is difficult due to immense intra-class appearance variations. Additionally, the dataset includes a large range of diverging aspect ratios and strong perspective distortions, which usually limit object detectors. It is densely annotated with 4 classes namely wall, window, door and sky.
CategoriesDetection, Urban, Graz