CAPTCHA-based image labeling on the Soylent Grid
Publikation: Bidrag til tidsskrift › Konferenceartikel › Forskning › fagfællebedømt
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.
Originalsprog | Engelsk |
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Tidsskrift | Proceedings of the ACM SIGKDD Workshop on Human Computation, HCOMP '09 |
Sider (fra-til) | 46-49 |
Antal sider | 4 |
DOI | |
Status | Udgivet - 2009 |
Eksternt udgivet | Ja |
Begivenhed | ACM SIGKDD Workshop on Human Computation, HCOMP '09 - Paris, Frankrig Varighed: 28 jun. 2009 → 28 jun. 2009 |
Konference
Konference | ACM SIGKDD Workshop on Human Computation, HCOMP '09 |
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Land | Frankrig |
By | Paris |
Periode | 28/06/2009 → 28/06/2009 |
Sponsor | Microsoft Research, Carnegie Mellon |
ID: 302050285