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.