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The Pascal Visual Object Classes (VOC) Challenge

The Pascal Visual Object Classes (VOC) Challenge The Pascal Visual Object Classes (VOC) challenge is a benchmark in visual object category recognition and detection, providing the vision and machine learning communities with a standard dataset of images and annotation, and standard evaluation procedures. Organised annually from 2005 to present, the challenge and its associated dataset has become accepted as the benchmark for object detection. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Computer Vision Springer Journals

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References (70)

Publisher
Springer Journals
Copyright
Copyright © 2009 by Springer Science+Business Media, LLC
Subject
Computer Science; Pattern Recognition; Image Processing and Computer Vision; Artificial Intelligence (incl. Robotics); Computer Imaging, Vision, Pattern Recognition and Graphics
ISSN
0920-5691
eISSN
1573-1405
DOI
10.1007/s11263-009-0275-4
Publisher site
See Article on Publisher Site

Abstract

The Pascal Visual Object Classes (VOC) challenge is a benchmark in visual object category recognition and detection, providing the vision and machine learning communities with a standard dataset of images and annotation, and standard evaluation procedures. Organised annually from 2005 to present, the challenge and its associated dataset has become accepted as the benchmark for object detection.

Journal

International Journal of Computer VisionSpringer Journals

Published: Sep 9, 2009

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