The 2005 PASCAL visual object classes challenge

Mark Everingham; Andrew Zisserman; Christopher K. I. Williams; Luc Van Gool; Moray Allan; Christopher M. Bishop; 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; Amos Storkey; Sandor Szedmak; Bill Triggs; Ilkay Ulusoy; Ville Viitaniemi; Jianguo Zhang

doi:10.1007/11736790_8

The 2005 PASCAL visual object classes challenge

Mark Everingham, Andrew Zisserman, Christopher K. I. Williams, Luc Van Gool, Moray Allan, Christopher M. Bishop, 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 LaaksonenDiane Larlus, Bastian Leibe, Hongying Meng, Hermann Ney, Bernt Schiele, Cordelia Schmid, Edgar Seemann, John Shawe-Taylor, Amos Storkey, Sandor Szedmak, Bill Triggs, Ilkay Ulusoy, Ville Viitaniemi, Jianguo Zhang

Research output: Chapter in Book/Report/Conference proceeding › Other chapter contribution

93 Citations (Scopus)

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: motor-bikes, 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.

Original language	English
Title of host publication	Machine Learning Challenges. Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Tectual Entailment
Subtitle of host publication	First PASCAL Machine Learning Challenges Workshop, MLCW 2005, Southampton, UK, April 11-13, 2005, Revised Selected Papers
Editors	Joaquin Quinonero-Candela, Ido Dagan, Bernardo Magnini, Florence d'Alche-Buc
Place of Publication	Berlin
Publisher	Springer
Pages	117-176
Number of pages	60
ISBN (Print)	9783540334279 , 3540334270
DOIs	https://doi.org/10.1007/11736790_8
Publication status	Published - 2006
Event	First PASCAL Machine Learning Challenges Workshop - Southampton, United Kingdom Duration: 11 Apr 2005 → 13 Apr 2005 http://pascallin.ecs.soton.ac.uk/Workshops/PC04/

Publication series

Name	Lecture notes in computer science
Publisher	Springer
Volume	3944

Workshop

Workshop	First PASCAL Machine Learning Challenges Workshop
Abbreviated title	MLCW 2005
Country/Territory	United Kingdom
City	Southampton
Period	11/04/05 → 13/04/05
Internet address	http://pascallin.ecs.soton.ac.uk/Workshops/PC04/

Access to Document

10.1007/11736790_8

Cite this

Everingham, M., Zisserman, A., Williams, C. K. I., Gool, L. V., Allan, M., Bishop, C. M., Chapelle, O., Dalal, N., Deselaers, T., Dorko, G., Duffner, S., Eichhorn, J., Farquhar, J. D. R., Fritz, M., Garcia, C., Griffiths, T., Jurie, F., Keysers, D., Koskela, M., ... Zhang, J. (2006). The 2005 PASCAL visual object classes challenge. In J. Quinonero-Candela, I. Dagan, B. Magnini, & F. d'Alche-Buc (Eds.), Machine Learning Challenges. Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Tectual Entailment: First PASCAL Machine Learning Challenges Workshop, MLCW 2005, Southampton, UK, April 11-13, 2005, Revised Selected Papers (pp. 117-176). (Lecture notes in computer science; Vol. 3944). Springer . https://doi.org/10.1007/11736790_8

Everingham, Mark ; Zisserman, Andrew ; Williams, Christopher K. I. et al. / The 2005 PASCAL visual object classes challenge. Machine Learning Challenges. Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Tectual Entailment: First PASCAL Machine Learning Challenges Workshop, MLCW 2005, Southampton, UK, April 11-13, 2005, Revised Selected Papers. editor / Joaquin Quinonero-Candela ; Ido Dagan ; Bernardo Magnini ; Florence d'Alche-Buc. Berlin : Springer , 2006. pp. 117-176 (Lecture notes in computer science).

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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: motor-bikes, bicycles, cars and people. Twelve teams entered the challenge. In this chapter we provide details of the datasets, algorithms used by theteams, evaluation criteria, and results achieved.",

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

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doi = "10.1007/11736790_8",

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isbn = "9783540334279 ",

series = "Lecture notes in computer science",

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editor = "Joaquin Quinonero-Candela and Ido Dagan and Bernardo Magnini and Florence d'Alche-Buc",

booktitle = "Machine Learning Challenges. Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Tectual Entailment",

note = "First PASCAL Machine Learning Challenges Workshop, MLCW 2005 ; Conference date: 11-04-2005 Through 13-04-2005",

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Everingham, M, Zisserman, A, Williams, CKI, Gool, LV, Allan, M, Bishop, CM, Chapelle, O, Dalal, N, Deselaers, T, Dorko, G, Duffner, S, Eichhorn, J, Farquhar, JDR, Fritz, M, Garcia, C, Griffiths, T, Jurie, F, Keysers, D, Koskela, M, Laaksonen, J, Larlus, D, Leibe, B, Meng, H, Ney, H, Schiele, B, Schmid, C, Seemann, E, Shawe-Taylor, J, Storkey, A, Szedmak, S, Triggs, B, Ulusoy, I, Viitaniemi, V & Zhang, J 2006, The 2005 PASCAL visual object classes challenge. in J Quinonero-Candela, I Dagan, B Magnini & F d'Alche-Buc (eds), Machine Learning Challenges. Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Tectual Entailment: First PASCAL Machine Learning Challenges Workshop, MLCW 2005, Southampton, UK, April 11-13, 2005, Revised Selected Papers. Lecture notes in computer science, vol. 3944, Springer , Berlin, pp. 117-176, First PASCAL Machine Learning Challenges Workshop, Southampton, United Kingdom, 11/04/05. https://doi.org/10.1007/11736790_8

The 2005 PASCAL visual object classes challenge. / Everingham, Mark; Zisserman, Andrew; Williams, Christopher K. I. et al.
Machine Learning Challenges. Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Tectual Entailment: First PASCAL Machine Learning Challenges Workshop, MLCW 2005, Southampton, UK, April 11-13, 2005, Revised Selected Papers. ed. / Joaquin Quinonero-Candela; Ido Dagan; Bernardo Magnini; Florence d'Alche-Buc. Berlin: Springer , 2006. p. 117-176 (Lecture notes in computer science; Vol. 3944).

Research output: Chapter in Book/Report/Conference proceeding › Other chapter contribution

TY - CHAP

T1 - The 2005 PASCAL visual object classes challenge

AU - Everingham, Mark

AU - Zisserman, Andrew

AU - Williams, Christopher K. I.

AU - Gool, Luc Van

AU - Allan, Moray

AU - Bishop, Christopher M.

AU - Chapelle, Olivier

AU - Dalal, Navneet

AU - Deselaers, Thomas

AU - Dorko, Gyuri

AU - Duffner, Stefan

AU - Eichhorn, Jan

AU - Farquhar, Jason D. R.

AU - Fritz, Mario

AU - Garcia, Christophe

AU - Griffiths, Tom

AU - Jurie, Frederic

AU - Keysers, Daniel

AU - Koskela, Markus

AU - Laaksonen, Jorma

AU - Larlus, Diane

AU - Leibe, Bastian

AU - Meng, Hongying

AU - Ney, Hermann

AU - Schiele, Bernt

AU - Schmid, Cordelia

AU - Seemann, Edgar

AU - Shawe-Taylor, John

AU - Storkey, Amos

AU - Szedmak, Sandor

AU - Triggs, Bill

AU - Ulusoy, Ilkay

AU - Viitaniemi, Ville

AU - Zhang, Jianguo

PY - 2006

Y1 - 2006

N2 - 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: motor-bikes, bicycles, cars and people. Twelve teams entered the challenge. In this chapter we provide details of the datasets, algorithms used by theteams, evaluation criteria, and results achieved.

AB - 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: motor-bikes, bicycles, cars and people. Twelve teams entered the challenge. In this chapter we provide details of the datasets, algorithms used by theteams, evaluation criteria, and results achieved.

U2 - 10.1007/11736790_8

DO - 10.1007/11736790_8

M3 - Other chapter contribution

SN - 9783540334279

SN - 3540334270

T3 - Lecture notes in computer science

SP - 117

EP - 176

BT - Machine Learning Challenges. Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Tectual Entailment

A2 - Quinonero-Candela, Joaquin

A2 - Dagan, Ido

A2 - Magnini, Bernardo

A2 - d'Alche-Buc, Florence

PB - Springer

CY - Berlin

T2 - First PASCAL Machine Learning Challenges Workshop

Y2 - 11 April 2005 through 13 April 2005

ER -

Everingham M, Zisserman A, Williams CKI, Gool LV, Allan M, Bishop CM et al. The 2005 PASCAL visual object classes challenge. In Quinonero-Candela J, Dagan I, Magnini B, d'Alche-Buc F, editors, Machine Learning Challenges. Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Tectual Entailment: First PASCAL Machine Learning Challenges Workshop, MLCW 2005, Southampton, UK, April 11-13, 2005, Revised Selected Papers. Berlin: Springer . 2006. p. 117-176. (Lecture notes in computer science). doi: 10.1007/11736790_8

The 2005 PASCAL visual object classes challenge

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