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CAM2 Crowdsourcing Team was created on Jan 8th 2019 under the Purdue CAM2 Research Group by the first team leader Xiao Hu. The purpose of this team is to explore the utilization of Crowdsourcing to detect and report the biased attributes in single-object image datasets. We have developed a website of Human Intelligence Tasks(HIT) and started collecting crowdsourcing data on Amazon Mechanical Turk(AMT).
Potential focuses of this team can be any topics related to human interactions or collecting human crowd data.
- Website: Crowdsourcing Production Site
- Overleaf Research Paper: Detect Biased Attributes In Image Datasets By Crowdsourcing
- Google Drive: CAM2-Crowdsourcing
- Slack CAM2 Channel: #crowdsourcing
- 2019 Spring: Xiao Hu(Leader) | Haobo Wang | Gore Kao | Pranjali Rasturi |
- 2019 Summer: Xiao Hu(Leader) | Haobo Wang(Co-leader) | Somesh Dube | Anirudh Vegesana | Kaiwen Yu