The LabelMeFacade dataset contains buildings, windows, sky and a limited number of unlabeled regions (maximally 20% covering of the image). This procedure resulted in 945 images. The pixelwise labeled images are created by utilizing the eTRIMS categories and a simple depth order heuristic. Due to some label ambiguities the following class names are used as synonyms for corresponding eTRIMS categories: house (building); sideway, sidewalk (pavement); street (road); tree (vegetation). We split this dataset into 100 images for training and 845 images for testing. We use the same format as used in the PASCAL database: To get the database please write an email to erik (dot) rodner (at) uni-jena (dot) de

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