The CHROMA-FIT Dataset: Characterizing Human Ranges of Melanin For Increased Tone-awareness

The disparate performance of face analytics technology across demographic groups is a well-documented phe-nomenon. In particular, these systems tend toward lower accuracy for darker-skinned individuals. Prior research ex-ploring this asymmetry has largely relied on discrete race categories, but such...

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Bibliographic Details
Main Authors: Pangelinan, Gabriella, Merino, Xavier, Langborgh, Samuel, Vangara, Kushal, Annan, Joyce, Beaubrun, Audison, Weekes, Troy, King, Michael C.
Format: Conference Proceeding
Language:English
Subjects:
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Atmospheric measurements
Computer vision
Conferences
Particle measurements
Reliability
Skin
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Summary:The disparate performance of face analytics technology across demographic groups is a well-documented phe-nomenon. In particular, these systems tend toward lower accuracy for darker-skinned individuals. Prior research ex-ploring this asymmetry has largely relied on discrete race categories, but such labels are increasingly deemed insuf-ficient to describe the wide range of human phenotypical features. Skin tone is a more objective measure, but there is a dearth of reliable skin tone-related image data. Ex-isting tone annotations are derived from the images alone, either by human reviewers or automated processes. However, without ground-truth skin tone measurements from the subjects of the images themselves, there is no way to as-sess the consistency or accuracy of post-hoc methods. In this work, we present CHROMA-FIT, the first publicly available dataset of face images and corresponding ground-truth skin tone measurements. Our goal is to provide a baseline for tone-labeling methods in assessing and improving their accuracy. The dataset comprises approximately 2,300 still images of 209 participants in indoor and outdoor collection environments.
ISSN:2690-621X
DOI:10.1109/WACVW60836.2024.00127