Face Recognition Vendor Test (FRVT) Part 3¶
Grother, P., Ngan, M., & Hanaoka, K. (2019). Face Recognition Vendor Test (FRVT) Part 3: Demographic Effects (NIST Interagency Report 8280).
Cited by¶
2 citations across 2 artifacts.
Each citation links to the sentence it supports in the citing article.
Domain-specific¶
- Cross-Race Effect
- A large-scale field test is the US National Institute of Standards and Technology's demographic evaluation of face-recognition algorithms (Grother, Ngan, and Hanaoka, NISTIR 8280, 2019), which ran roughly two hundred commercial and academic algorithms against large operational photo databases
This sourceThe scale of the NIST demographic evaluation: 189 mostly commercial algorithms from 99 developers run on four operational U.S. government photo sets. Elevated false positives on East Asian faces overall, with a number of China-developed algorithms giving low false positives on East Asian faces; the report treats developer location as a proxy for training data without testing cause.
SupportedVerified against the source
- A large-scale field test is the US National Institute of Standards and Technology's demographic evaluation of face-recognition algorithms (Grother, Ngan, and Hanaoka, NISTIR 8280, 2019), which ran roughly two hundred commercial and academic algorithms against large operational photo databases
Mechanisms¶
- False-Capture Audit
- Setup to outcome: the headline "accuracy" survives, but the audit surfaces that among one nationality the false-capture rate is several times the baseline — a realized specificity gap invisible in the operator's own reporting.
This sourceNISTIR 8280. National Institute of Standards and Technology (2019). Reports large country-of-birth differentials in false-positive face-recognition rates and warns that aggregate accuracy summaries can hide those operational demographic gaps.
- Setup to outcome: the headline "accuracy" survives, but the audit surfaces that among one nationality the false-capture rate is several times the baseline — a realized specificity gap invisible in the operator's own reporting.
Verification¶
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