Uniformness
What the Uniformness parameter measures about how evenly skin colour is distributed, and how to read its scores, grades, and mask.
About Parameter
The parameter measures how evenly skin color is distributed across the face. An uneven appearance can result from various factors, including patches of darker or lighter pigmentation, redness from inflammation, visible small blood vessels, and surface texture differences. When skin color is more uniform, the overall appearance looks smoother and more balanced.
Features
Multi-area analysis: forehead, right cheek, left cheek.
Works with 1 and 3 side facial images.
Output
Score from 1 to 100.
Grade from 1 to 5.
Algorithm-assigned skin condition tag (Great, Good, Average, Poor).
Score for specific facial regions: forehead, left cheek, right cheek.
Vector mask.
Scores & Grades Description
100-90
1
Flawlessly smooth texture with invisible pores and completely consistent pigmentation.
Great
89-80
2
Only very faint grain or slight color variation visible upon close inspection.
Good
50-79
3
Noticeable pores, mild roughness, or uneven pigmentation are clearly visible.
Average
30-49
4
Significant irregularities.
Poor
<30
5
Extreme roughness, severe discoloration create a highly uneven, textured landscape.
Poor
Mask Color Legend
The uniformness mask shades color unevenness across the face. With the default color scale, lighter areas mark an even skin tone, and deeper indigo marks a more uneven skin tone.
Algorithm API
API access is available only for Professional plan clients
See Uniformness Parameter Result Scheme.
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