Edinburgh Research Explorer

The 2005 PASCAL visual object classes challenge

Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Mark Everingham
  • Andrew Zisserman
  • Luc Van Gool
  • Moray Allan
  • Olivier Chapelle
  • Navneet Dalal
  • Thomas Deselaers
  • Gyuri Dorko
  • Stefan Duffner
  • Jan Eichhorn
  • Jason D. R. Farquhar
  • Mario Fritz
  • Christophe Garcia
  • Tom Griffiths
  • Frederic Jurie
  • Daniel Keysers
  • Markus Koskela
  • Jorma Laaksonen
  • Diane Larlus
  • Bastian Leibe
  • Hongying Meng
  • Hermann Ney
  • Bernt Schiele
  • Cordelia Schmid
  • Edgar Seemann
  • John Shawe-Taylor
  • Sandor Szedmak
  • Bill Triggs
  • Ilkay Ulusoy
  • Ville Viitaniemi
  • Jianguo Zhang

Related Edinburgh Organisations

Original languageEnglish
Title of host publicationMachine Learning Challenges
Subtitle of host publicationEvaluating Predictive Uncertainty, Visual Object Classification, and Recognising Tectual Entailment
EditorsJ Quinonero-Candela, Dagan, B Magnini, F D'Alche-Buc
Place of PublicationBerlin
PublisherSpringer-Verlag Berlin Heidelberg
Pages117-176
Number of pages60
ISBN (Electronic)978-3-540-33428-6
ISBN (Print)978-3-540-33427-9
DOIs
Publication statusPublished - 2006
Event1st PASCAL Machine Learning Challenges Workshop (MLCW 2005) - Southampton, United Kingdom
Duration: 11 Apr 200513 Apr 2005

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Berlin Heidelberg
Volume3944
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference1st PASCAL Machine Learning Challenges Workshop (MLCW 2005)
CountryUnited Kingdom
Period11/04/0513/04/05

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.

    Research areas

  • IMAGE, DESCRIPTORS, SCALE

Event

1st PASCAL Machine Learning Challenges Workshop (MLCW 2005)

11/04/0513/04/05

United Kingdom

Event: Conference

ID: 20027692