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The 2005 PASCAL Visual Object Class Challenge

M. Everingham, A. Zisserman, C. Williams, L. Van Gool, M. Allan, C. Bishop, O. Chapelle, N. Dalal, T. Deselaers, G. Dorko, S. Duffner, J. Eichhorn, J. Farquhar, M. Fritz, C. Garcia, T. Griffiths, F. Jurie, D. Keysers, M. Koskela, J. Laaksonen, D. Larlus, B. Leibe, H. Meng, H. Ney, B. Schiele, C. Schmid, E. Seemann, J. Shawe-Taylor, A. Storkey, S. Szedmak, B. Triggs, I. Ulusoy, V. Viitaniemi, J. Zhang
Selected Proceedings of the 1st PASCAL Challenges Workshop, Lecture Notes in AI
, Ed.
Springer, 2006


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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  title = {The 2005 PASCAL Visual Object Class Challenge},
  booktitle = {Selected Proceedings of the 1st PASCAL Challenges Workshop, Lecture Notes in AI},
  pages = {},
  year = {2006},
  publisher = {Springer},
  keywords = {}