The 2008 event is done. Congratulations to the winning teams!!! Please see the Teams link above for the rankings as well as more information about the event.
The Semantic Robot Vision Challenge (abbreviated SRVC)
is a research competition that is designed to push the state
of the art in image understanding and automatic acquisition
of knowledge from large unstructured databases of images (such
as those generally found on the web).
In this competition, fully autonomous robots receive a
text list of objects that they are to find. They use the web
to automatically find image examples of those objects in order
to learn visual models. These visual models are then used to
identify the objects in the robot's cameras.
We encourage
anyone in these research fields to participate and help us to
advance the state of the art in image understanding research.
At the end of the competition, we will hold a workshop so that
the specific technical aspects of each entry can be presented
and discussed.
If you are interested in being notified when there is an update
to this web page, want to keep up with the discussion as the rules
evolve, or are just interested in this effort, please feel free
to subscribe to the mailing list!
Subscribe
to the mailing list by clicking this
link.
