Semantic Robot Challenge
Research Project Goal
The Semantic Robot Vision Challenge 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).
You can find more information at
http://www.semantic-robot-vision-challenge.org/
The goal of this project would be to develop software to pass 'Software-Only" qualification for the competition. Given the database of images collected by the robot base available of the
competition web site, learn visual models on 20 objects listed as present in the dataset
by retrieving similar images from the web and identify the presence of the objects in the
image database.
Research Scope
Sample Data
Available on the competition web page
Tasks
- learn the models of objects from the web
- given the learned models detect the images in the database
Challenges
Research Project Status
student names here
Point of Contact
Jana Kosecka, kosecka@cs.gmu.edu
Midterm Report
not yet submitted
Final Report
not yet submitted