Show simple item record

dc.contributor.authorRussell, Bryan C.
dc.contributor.authorTorralba, Antonio
dc.contributor.authorMurphy, Kevin P.
dc.contributor.authorFreeman, William T.
dc.date.accessioned2005-12-22T02:36:40Z
dc.date.available2005-12-22T02:36:40Z
dc.date.issued2005-09-08
dc.identifier.otherMIT-CSAIL-TR-2005-056
dc.identifier.otherAIM-2005-025
dc.identifier.urihttp://hdl.handle.net/1721.1/30567
dc.description.abstractResearch in object detection and recognition in cluttered scenes requires large image collections with ground truth labels. The labels should provide information about the object classes present in each image, as well as their shape and locations, and possibly other attributes such as pose. Such data is useful for testing, as well as for supervised learning. This project provides a web-based annotation tool that makes it easy to annotate images, and to instantly sharesuch annotations with the community. This tool, plus an initial set of 10,000 images (3000 of which have been labeled), can be found at http://www.csail.mit.edu/$\sim$brussell/research/LabelMe/intro.html
dc.format.extent11 p.
dc.format.extent12518984 bytes
dc.format.extent559659 bytes
dc.format.mimetypeapplication/postscript
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.relation.ispartofseriesMassachusetts Institute of Technology Computer Science and Artificial Intelligence Laboratory
dc.subjectAI
dc.subjectobject recognition detection database annotation tool
dc.titleLabelMe: a database and web-based tool for image annotation


Files in this item

Thumbnail
Thumbnail

This item appears in the following Collection(s)

Show simple item record