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- Q7113683 subject Q8363952.
- Q7113683 abstract "The Overhead Imagery Research Data Set (OIRDS) is a collection of an open-source, annotated, overhead images that computer vision researchers can use to aid in the development of algorithms. Most computer vision and machine learning algorithms function by training on a large set of example data. Further, for many academic and industry researchers, the availability of truth-labeled test data helps drive algorithm research. While a great deal of terrestrial imagery is available on the Internet from various sources, there are few (if any) repositories of overhead imagery. The limited overhead imagery that is found via sources such as Google Earth or Google Maps is copyrighted or may have limited use.".
- Q7113683 wikiPageExternalLink www.usgs.gov.
- Q7113683 wikiPageExternalLink labelme.csail.mit.edu.
- Q7113683 wikiPageExternalLink oirds.sourceforge.net.
- Q7113683 wikiPageExternalLink www.aipr-workshop.org.
- Q7113683 wikiPageExternalLink www.cvpr2009.org.
- Q7113683 wikiPageExternalLink vivid.asp.
- Q7113683 wikiPageExternalLink Caltech101.
- Q7113683 wikiPageExternalLink Caltech256.
- Q7113683 wikiPageWikiLink Q12013.
- Q7113683 wikiPageWikiLink Q22682148.
- Q7113683 wikiPageWikiLink Q2934404.
- Q7113683 wikiPageWikiLink Q42274.
- Q7113683 wikiPageWikiLink Q6466871.
- Q7113683 wikiPageWikiLink Q75.
- Q7113683 wikiPageWikiLink Q8363952.
- Q7113683 wikiPageWikiLink Q844240.
- Q7113683 comment "The Overhead Imagery Research Data Set (OIRDS) is a collection of an open-source, annotated, overhead images that computer vision researchers can use to aid in the development of algorithms. Most computer vision and machine learning algorithms function by training on a large set of example data. Further, for many academic and industry researchers, the availability of truth-labeled test data helps drive algorithm research.".
- Q7113683 label "Overhead Imagery Research Data Set".