Announcing the ImageNet Large Scale Visual Recognition Challenge (ILSVRC2010)
Fei-Fei Li
Come take advantage of our labeling effort to show
off your algorithms for image categorization! The
goal is to better understand performance of
algorithms on hierarchical recognition at large
scale with an eye toward image search and
auto-annotation. In the first year, the challenge
will focus on image categorization for images of
1000 object categories. This significant increase
in the number of categories provides an
interesting hierarchical structure and is meant to
complement PASCAL VOC which concentrates on
classification and detection for 20 categories.
Training and validation data will be provided from
ImageNet as well as from a dataset newly collected
expressly for this challenge -- test data will
come only from the newly collected set.
In order to make the challenge accessible to the
widest possible audience we are releasing a
baseline recognition algorithm as well as
precomputed descriptors for all images.
Results will be presented at the PASCAL VOC
workshop held at ECCV 2010. Prizes may indeed be
won. Time-lines and more details are available
here:
http://www.image-net.org/challenges/LSVRC/2010/
Good Luck!
The ILSVRC2010 team.
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Li, Fei-Fei Ph.D.
(publish under L. Fei-Fei)
Assistant Professor
Computer Science Dept.
Stanford University
353 Serra Mall 2A Room246
Stanford, CA 94305
Tel: (650)725-3860
Website: http://vision.stanford.edu
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