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dc.contributor.authorTorralba, Antonio
dc.contributor.authorRussell, Bryan C.
dc.contributor.authorYuen, Jenny
dc.date.accessioned2011-03-28T19:19:46Z
dc.date.available2011-03-28T19:19:46Z
dc.date.issued2010-06
dc.date.submitted2010-04
dc.identifier.issn0018-9219
dc.identifier.otherINSPEC Accession Number: 11416771
dc.identifier.urihttp://hdl.handle.net/1721.1/61984
dc.description.abstractCentral to the development of computer vision systems is the collection and use of annotated images spanning our visual world. Annotations may include information about the identity, spatial extent, and viewpoint of the objects present in a depicted scene. Such a database is useful for the training and evaluation of computer vision systems. Motivated by the availability of images on the Internet, we introduced a web-based annotation tool that allows online users to label objects and their spatial extent in images. To date, we have collected over 400 000 annotations that span a variety of different scene and object classes. In this paper, we show the contents of the database, its growth over time, and statistics of its usage. In addition, we explore and survey applications of the database in the areas of computer vision and computer graphics. Particularly, we show how to extract the real-world 3-D coordinates of images in a variety of scenes using only the user-provided object annotations. The output 3-D information is comparable to the quality produced by a laser range scanner. We also characterize the space of the images in the database by analyzing 1) statistics of the co-occurrence of large objects in the images and 2) the spatial layout of the labeled images.en_US
dc.description.sponsorshipNational Science Foundation (U.S.) (Career award IIS 0747120)en_US
dc.description.sponsorshipNational Defense Science and Engineering Graduate Fellowshipen_US
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/JPROC.2010.2050290en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceMIT web domainen_US
dc.titleLabelMe: Online image annotation and applicationsen_US
dc.typeArticleen_US
dc.identifier.citationTorralba, A., B.C. Russell, and J. Yuen. “LabelMe: Online Image Annotation and Applications.” Proceedings Of the IEEE 98.8 (2010) : 1467-1484. Copyright © 2010, IEEEen_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.approverTorralba, Antonio
dc.contributor.mitauthorTorralba, Antonio
dc.contributor.mitauthorYuen, Jenny
dc.relation.journalProceedings of the IEEEen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsTorralba, Antonio; Russell, Bryan C; Yuen, Jennyen
dc.identifier.orcidhttps://orcid.org/0000-0003-4915-0256
mit.licensePUBLISHER_POLICYen_US


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