[visionlist] LabelMe: A web-based tool for sharing annotated images

[torralba at csail.mit.edu]

Research on object and scene recognition requires large amounts of real world
images with ground truth. Those labeled datasets would require a big effort to
build by a single group. The goal of the “LabelMe” database is to provide
researchers with an online annotation tool so that everybody can help to build
such a database and instantly share such annotations with the community.
LabelMe is not only a database of labeled  images, but also a web-based tool
for easily creating and sharing more labeled data.

The LabelMe database contains thousands of labeled images and is growing every
day. To get the database, we only ask you to contribute to it by annotating few
objects. After labeling some images, you will be granted access to the full
database, and that will include your latest annotations too and a MATLAB
toolbox for manipulating the database.

The labeling tool, plus a set of more than 10,000 high resolution images (4000
of which have been labeled), can be found at

      http://www.csail.mit.edu/~brussell/research/LabelMe/intro.html

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Bryan Russell, MIT
Antonio Torralba, MIT
Kevin Murphy, UBC
William Freeman, MIT