For the complete documentation index, see llms.txt. This page is also available as Markdown.

Redness

What the Redness parameter measures, the facial areas it covers, how to read its scores and grades, and what the mask colours mean.

About Parameter

The parameter estimates the visible presence and severity of redness in facial skin, including diffuse redness, localized flushing, and areas of inflammation that may be caused by increased blood flow, sensitivity, or various skin conditions that affect blood vessel dilation.

Features

  1. Multi-area analysis: forehead, left cheek, right cheek, and perioral region.

  2. Works with 1 and 3 side facial images..

Output

  1. Score from 1 to 100.

  2. Grade from 1 to 5.

  3. Algorithm-assigned skin condition tag (Great, Good, Average, Poor).

  4. Score for specific facial regions: nose, forehead, perioral, left cheek, right cheek.

  5. Byte-formatted mask indicating areas of detected redness.

Scores & Grades Description

Score value
Grade value
Description
Tags

100-90

1

Minimal redness, barely noticeable pink tint

Great

89-80

2

Light pink areas or mild flushing

Good

50-79

3

Moderate redness with visible blood vessels

Average

30-49

4

Significant redness with inflammation

Poor

<30

5

Severe redness with pronounced inflammation

Poor

Mask Color Legend

The redness mask shades detected redness directly on the face image. With the default color scale, lighter areas mark little to no redness, and deeper, more saturated red marks more severe redness.

Redness mask color scale, from light cream (no redness) on the left to deep red (severe redness) on the right
Default color scale for the redness mask.

Algorithm API

See Redness Parameter Result Scheme.


Book a demo external-linkFace Skin Analysis 3.0 on haut.ai

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