Crowdsourcing Images for Global Diversity
Abstract
Crowdsourcing enables human workers to perform designated tasks unbounded by time and location.
As mobile devices and embedded cameras have become widely available, we deployed an image
capture task globally for more geographically diverse images. Via our micro-crowdsourcing mobile
application, users capture images of surrounding subjects, tag with keywords, and can choose to
open source their work. We open-sourced 478,000 images collected from worldwide users as a dataset
“Open Images Extended” that aims to add global diversity to imagery training data. We describe our
approach and workers’ feedback through survey responses from 171 global contributors to this task.
As mobile devices and embedded cameras have become widely available, we deployed an image
capture task globally for more geographically diverse images. Via our micro-crowdsourcing mobile
application, users capture images of surrounding subjects, tag with keywords, and can choose to
open source their work. We open-sourced 478,000 images collected from worldwide users as a dataset
“Open Images Extended” that aims to add global diversity to imagery training data. We describe our
approach and workers’ feedback through survey responses from 171 global contributors to this task.
Research Areas
