CAPTCHA-based image labeling on the Soylent Grid

Publikation: Bidrag til tidsskriftKonferenceartikelForskningfagfællebedømt

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.

OriginalsprogEngelsk
TidsskriftProceedings of the ACM SIGKDD Workshop on Human Computation, HCOMP '09
Sider (fra-til)46-49
Antal sider4
DOI
StatusUdgivet - 2009
Eksternt udgivetJa
BegivenhedACM SIGKDD Workshop on Human Computation, HCOMP '09 - Paris, Frankrig
Varighed: 28 jun. 200928 jun. 2009

Konference

KonferenceACM SIGKDD Workshop on Human Computation, HCOMP '09
LandFrankrig
ByParis
Periode28/06/200928/06/2009
SponsorMicrosoft Research, Carnegie Mellon

ID: 302050285