------------ status: draft title: IBM Diversity in Faces desc: IBM Diversity in Faces is a person re-identification dataset of images captured at UC Santa Cruz in 2007 subdesc: IBM Diversity in Faces contains 1,264 images and 632 persons on the UC Santa Cruz campus and is used to train person re-identification algorithms for surveillance slug: IBM Diversity in Faces cssclass: dataset image: assets/background.jpg year: 2007 published: 2019-2-23 updated: 2019-2-23 authors: Adam Harvey ------------ ## IBM Diversity in Faces Dataset ### sidebar ### end sidebar [ page under development ] in "Understanding Unequal Gender Classification Accuracyfrom Face Images" researcher affilliated with IBM created a new version of PPB so they didn't have to agree to the terms of the original PPB. >We use an approximation of the PPB dataset for the ex-periments in this paper. This dataset contains images ofparliament members from the six countries identified in[4] and were manually labeled by us into the categoriesdark-skinned and light-skinned.1Our approximation tothe PPB dataset, which we call PPB*, is very similar toPPB and satisfies the relevant characteristics for the study we perform. Table 1 compares the decomposition of theoriginal PPB dataset and our PPB* approximation accord-ing to skin type and gender. {% include 'dashboard.html' %}