The 2005 PASCAL Visual Object Classes Challenge

Abstract : The PASCAL Visual Object Classes Challenge ran from February to March 2005. The goal of the challenge was to recognize objects from a number of visual object classes in realistic scenes (i.e. not pre-segmented objects). Four object classes were selected: motorbikes, bicycles, cars and people. Twelve teams entered the challenge. In this chapter we provide details of the datasets, algorithms used by the teams, evaluation criteria, and results achieved.
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Mark Everingham, Andrew Zisserman, Chris Williams, Luc van Gool, Moray Allan, et al.. The 2005 PASCAL Visual Object Classes Challenge. First PASCAL Machine Learning Challenges Workshop (MLCW '05), Apr 2005, Southampton, United Kingdom. pp.117--176, ⟨10.1007/11736790_8⟩. ⟨inria-00548597⟩

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