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status: draft
title: IBM Diversity in Faces
desc: <span class="dataset-name">IBM Diversity in Faces</span> 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
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## IBM Diversity in Faces Dataset
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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.
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