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The PASCAL VOC datasets were provided as part of the PASCAL Visual Object Classes challenge from 2005 to 2012. The goal of the datasets is to recognize objects from a number of visual object classes in realistic scenes. It is fundamentally a supervised learning problem in that a training set of labeled images is provided.