CAPTCHA-based image labeling on the Soylent Grid

Research output: Contribution to journalConference articleResearchpeer-review

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 explore usability issues. We present the interfaces used by researchers 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.

Original languageEnglish
JournalProceedings of the ACM SIGKDD Workshop on Human Computation, HCOMP '09
Pages (from-to)46-49
Number of pages4
DOIs
Publication statusPublished - 2009
Externally publishedYes
EventACM SIGKDD Workshop on Human Computation, HCOMP '09 - Paris, France
Duration: 28 Jun 200928 Jun 2009

Conference

ConferenceACM SIGKDD Workshop on Human Computation, HCOMP '09
CountryFrance
CityParis
Period28/06/200928/06/2009
SponsorMicrosoft Research, Carnegie Mellon

ID: 302050285