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Description

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.Related publications:Everingham, M., Eslami, S. M. A., Van Gool, L., Williams, C. K. I., Winn, J. and Zisserman, A. "The PASCAL Visual Object Classes Challenge - a Retrospective", International Journal of Computer Vision, 2014 [PDF]

Related Papers

• Everingham, M., Eslami, S. M. A., Van Gool, L., Williams, C. K. I., Winn, J. and Zisserman, A. "The PASCAL Visual Object Classes Challenge - a Retrospective", International Journal of Computer Vision, 2014 [PDF] [link]