CAPTCHA-based image labeling on the Soylent Grid
Research output: Contribution to journal › Conference article › Research › peer-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 language | English |
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Journal | Proceedings of the ACM SIGKDD Workshop on Human Computation, HCOMP '09 |
Pages (from-to) | 46-49 |
Number of pages | 4 |
DOIs | |
Publication status | Published - 2009 |
Externally published | Yes |
Event | ACM SIGKDD Workshop on Human Computation, HCOMP '09 - Paris, France Duration: 28 Jun 2009 → 28 Jun 2009 |
Conference
Conference | ACM SIGKDD Workshop on Human Computation, HCOMP '09 |
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Country | France |
City | Paris |
Period | 28/06/2009 → 28/06/2009 |
Sponsor | Microsoft Research, Carnegie Mellon |
ID: 302050285