Creative Commons and the Face Recognition Problem

How Creative Commons Licenses are Enabling and Accelerating Biometric Surveillance Technologies #

Research for OpenFuture.eu for the #AICommons project but opinions are my own. Written 2021-2022. Published May 25, 2022.

%%{init: {'theme':'base'}}%% graph TD CC[(Creative Commons Images)]:::CC CC-->OpenImages[(OpenImages
fa:fa-images 9M)] CC-->COCO[(COCO
fa:fa-images 100K)] CC-->IJBC[(IJB-C
fa:fa-user 33K)] CC-->PIPA[(PIPA
fa:fa-user 11K)] CC-->GeoFaces[(GeoFaces
fa:fa-user 3M)] CC-->FFHQ[(FFHQ
fa:fa-user 70K)] CC-->GoogleFEC[(Google FEC
fa:fa-user 30K)] CC--->YFCC100M[(YFCC100M
fa:fa-images 100M)] YFCC100M-->MF[(MegaFace
fa:fa-user 3.7M)] YFCC100M-->DIF[(IBM DiF
fa:fa-user 1M)] YFCC100M-->FairFace[(FairFace
fa:fa-user 10K)] YFCC100M-->FDF[(Flickr Diverse Faces
fa:fa-user 10K)] YFCC100M-->WGT[(Who Goes There
fa:fa-user 660K)] MF-->DiveFace[(DiveFace
fa:fa-user 139K)] MF-->TinyFace[(TinyFace
fa:fa-user 10K)] style CC fill:#fff,stroke:#000,stroke-width:2px,color:#000,stroke-dasharray: 5 5; classDef someclass fill:#f96; classDef docclass fill:#fff,stroke:#999; classDef classLegend fill:#fff,stroke:#666,font-size:13px,text-align:left,line-height:20px,height:100px;