CAPTCHA-based Image Labeling on the Soylent Grid

Peter Faymonville, Kai Wang, John Miller and Serge Belongie
May 18, 2009

We introduce an open labeling platform for Computer Vision researchers based on Captchas, creating as a byproduct labeled image data sets while supporting web security. For the two different tasks of annotation and detection, we provide a security analysis and explore usability issues. We present the interfaces used by researchers, website administrators and users and experimental results obtained using the platform. Finally, we discuss system sustainability issues in the context of a broader “ecosystem” for the platform.

How to view this document

The authors of these documents have submitted their reports to this technical report series for the purpose of non-commercial dissemination of scientific work. The reports are copyrighted by the authors, and their existence in electronic format does not imply that the authors have relinquished any rights. You may copy a report for scholarly, non-commercial purposes, such as research or instruction, provided that you agree to respect the author's copyright. For information concerning the use of this document for other than research or instructional purposes, contact the authors. Other information concerning this technical report series can be obtained from the Computer Science and Engineering Department at the University of California at San Diego,

[ Search ]

This server operates at UCSD Computer Science and Engineering.
Send email to