Black facial features
How a face with African ancestry scores across 17 structural metrics. Descriptive anthropometry, not a hierarchy.
Beauty is multi-ethnic. Coetzee, Greeff, Stephen and Perrett (2014) specifically studied Black African and European preferences and found neither population scored higher than the other in aggregate. This page describes the distribution.
17 metrics · Multi-ethnic norms · Free · No signup
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Why a Caucasian-distribution face score systematically mis-reads African features
The numerical problem is concrete. Farkas's 2005 international comparison documented that African-distribution mean nasal index sits roughly 12 to 14 millimeters wider than the Northern European mean at adult male measurement; lip vermilion thickness sits roughly 4 to 6 millimeters thicker; midface projection sits in a measurably different sub-range. A scoring engine calibrated on European data treats those African-distribution means as percentile deviations, when they are in fact the centroid of a different population's normal distribution. Same geometry, wrong reference axis.
Coetzee, Greeff, Stephen and Perrett's 2014 cross-cultural study on Black African and European composites is the reason this page treats published norms as description, not a target. They ran the same composite-attractiveness rating experiment across both populations and found neither emerged as universally higher-rated; preferences were population-specific. Our score does not split by ancestry: it places every metric against one reference group, everyone who has scanned here. Read a metric that sits far from that pooled middle as a description of where your face sits, not as a deviation from a standard you should meet.
The geometric measurements themselves do not change. A nasal index is the nasal-width-to-height ratio whether the face is African, European, East Asian, or South Asian. What a percentile means depends on who it is counted against. Ours is counted against everyone who has scanned here, not an African-only or a European-only group, and the Face Score's human-rated benchmark is a mostly young, mostly East Asian set of portraits. Neither is your own population, which is why the published African norms on this page are the context for reading your numbers.
5 structural patterns documented in African craniofacial research
Nasal index
Published African nasal-width-to-height norms sit in a distinct sub-range from European norms. A European mean is not a universal target; our score does not adjust for this, so read your nose reading with these norms in mind.
Lip thickness and vermilion ratio
Average upper and lower lip thickness sits higher than European norms (Porter and Olson 2001). The published African distribution places this at the population mean; our pooled score does not split by ancestry, so that norm is the context for your lip reading.
Midface projection
Average midface projection in published African American craniofacial work sits in a distinct sub-range. Published norms treat it as the population mean, not a deviation.
Lower-face proportion
Lower-face height relative to total facial height clusters in a distinct sub-range. Published norms treat it as the population mean, not a deviation.
Cheekbone projection
Average bizygomatic prominence sits in a distinct range. The published African norms record this as the population mean rather than as a deviation from European baselines.
Hair line and brow density
Hairline position and brow density shift how the brow-to-eye distance metric reads. The score treats these as structural signal rather than as styling artifacts.
Why the detector has to work on darker skin
The single most common failure mode for face-scoring tools on Black faces is landmark mis-placement on darker skin under poor lighting. The underlying detection model is the variable that matters. We use a 68-landmark model trained on cross-population datasets explicitly to reduce this failure mode. The result is that landmark placement is accurate on darker skin under even, diffuse light, which is the same lighting condition that produces a confident read on any skin tone.
If the detector returns a low-confidence read, the fix is the photo, not the model. Front-lit, even, diffuse light avoids the under-exposed shadow regions that legacy face tools choke on. The model itself is not the limiter; the input is.
What this score cannot honestly tell a Black user
- African ancestry covers Yoruba, Igbo, Akan, Wolof, Amhara, Oromo, Zulu, Xhosa, and dozens of other West, East, and Southern African populations whose published craniofacial norms differ from each other almost as much as they differ from European norms. Published "African" norms are regional aggregates, and this score is not split by ancestry at all: every metric is placed against everyone who has scanned here. If you know your specific ancestry, treat any published norm as directional.
- African American diaspora populations carry an admixture profile that Porter and Olson 2001 documented as distinct from continental African norms. Most published diaspora norms are drawn from West-African-dominant ancestry, the largest documented diaspora pattern, and lose precision the further your specific ancestry sits from that centroid.
- The detector's lighting bar is non-negotiable for darker skin. Even, diffuse light is the prerequisite, not a nice-to-have. A low-confidence landmark read on a poorly lit photo will produce a worse score than the underlying geometry deserves, and the fix is the photo, not the model.
- The recommendation layer deliberately targets grooming and habit levers (skin clarity for hyperpigmentation, beard shaping, sleep, posture, dental whitening on darker melanin contrast) rather than features that would push a face toward a non-African aesthetic ideal. We do not recommend interventions targeting ethnic features.
- The Coetzee et al. 2014 finding stands firm: no aggregate beauty hierarchy exists between Black African and European samples in cross-cultural attractiveness rating. Any tool that ranks Black faces lower because it scores them against a European-only distribution has made a methodology error, not surfaced a truth about the face.
Black facial features FAQ
Does this page rank Black faces against other ethnicities?+
Which structural metrics tend to differ in Black faces?+
Are the percentiles compared to Black African norms or universal norms?+
Does the test handle fuller lips and a wider nasal base correctly?+
How does darker skin tone affect landmark detection?+
Is my photo uploaded?+
What does the free score include and what does the $14.99 report add?+
Free score is the headline. The full report is the plan.
Get every metric your photo supports, with a 30-day plan.
The $14.99 Looksmax Report scores every metric your photo supports (typically 15 of the 17), each placed against everyone who has scanned here, names your weakest and writes a 30-day plan.
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17 metrics · Multi-ethnic norms · Photos auto-deleted
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