Face Skin Analysis 3.0
What Face Skin Analysis 3.0 covers: the parameters included, availability, input requirements, and its dependencies on other applications.
Disclaimer
Face Skin Analysis 3.0 Application Algorithms are not intended to be a substitute for professional medical advice, diagnosis or treatment.
None of the provided skin health parameters estimations can be treated as health advice.
Always seek the advice of your physician or other qualified healthcare provider on any medical condition or treatment as well as before undertaking any healthcare regimen.
Purpose, Scope and Limitations
Face Skin Analysis 3.0 Application provides Algorithms that perform the analysis of skin visual appearance on the facial area. The analysis is aimed at evaluating the visible and measurable skin condition parameters.
For a product-level overview of what the application does and who it is for, see Face Analysis 3.0 on haut.ai.
Parameters included in Face Skin Analysis 3.0 Application
These parameters are designed to evaluate visible and measurable skin health parameters.
Disclaimer
By default, advanced parameters of Face Skin Analysis 3.0 are not available and are only displayed when the advanced parameters option is enabled. This option is available as a paid add-on.
Please contact your account manager to upgrade your subscription with Advanced Parameters add-on.
Score from 1 to 100
Grade from 1 to 5
Skin condition tag
Vector mask for detected features
Score from 1 to 100
Grade from 1 to 5
Skin condition tag
Vector mask for detected features
Density for the left eye and the right eye
—
ITA (Individual Typology Angle), from −90° to +90°
Skin tone classification based on the ITA value
L* value
a* value
b* value
The same five values for the forehead, left cheek, and right cheek
Score from 1 to 100
Grade from 1 to 5
Skin condition tag
Vector mask for detected features
Number and length of lines for the forehead, left eye, right eye, and perioral area
Score from 1 to 100
Grade from 1 to 5
Skin condition tag
Vector mask for detected features
Score from 1 to 100
Grade from 1 to 5
Skin condition tag
Number of pores for the whole face
Vector mask for detected features
Number of pores for the nose, forehead, left cheek, and right cheek
Overall image quality score from 1 to 100, for each uploaded side
Face and skin detection checks
Head pose, resolution, and blur checks
Occlusion, eyeglasses, and hair bangs checks
Exposure, illumination uniformity, and shadow checks
—
Score from 1 to 100
Grade from 1 to 5
Skin condition tag
Vector mask for detected features
Score for the nose, forehead, perioral area, left cheek, and right cheek
Score from 1 to 100
Grade from 1 to 5
Skin condition tag
Vector mask for detected features
Score from 1 to 100
Grade from 1 to 5
Skin condition tag
Vector mask for detected features
Density for the left eye and the right eye
Score from 1 to 100
Grade from 1 to 5
Skin condition tag
Vector mask for detected features
Score for the forehead, left cheek, and right cheek
Availability of Face Skin Analysis 3.0 Application
Face Skin Analysis 3.0 Application is available for all plan clients:
In Consumer Apps, where it analyses the images collected by the app.
Via API. See the detailed API doc: API for Face Skin Analysis 3.0.
Input Requirements
Input Data
Face Skin Analysis 3.0 Application requires a high-resolution portrait photograph of a human face with:
Neutral facial expression.
No face-covering accessories or obstructions.
Clear skin, no make-up.
Face Skin Analysis 3.0 Application supports input in the form of:
A single frontal portrait image.
A triplet (3) of frontal, right, and left portrait images using Face 180 technology and LIQA.
Dependency on Other Applications
Face Skin Analysis 3.0 Application does not depend on other applications and can be used directly with input data.
Special features
Face Skin Analysis 3.0 Application supports analysis of anonymized images.
Output Details
Output Data
Face Skin Analysis 3.0 Application returns a variable set of numerical and categorical estimations of visible and measurable skin health parameters. API responses include the calculated parameters, the overall all_algorithms_calculated status, per-side detection_errors, and available predicted_images such as original, anonymised, and aligned face images.
The output is available for all plan clients, both in Consumer Apps and via API, see API for Face Skin Analysis 3.0.
Dependency for Other Applications
Face Analysis 3.0 Application could be used as an input data in order for the following applications to be executed:
FAQ
What is the minimum photo resolution for reliable results?
Capture an image at least 2500 pixels wide and 2500 pixels high, with the face occupying at least 85% of the frame. That framing puts roughly 2K x 2K pixels on the face itself, which is what the algorithms need to detect finer parameters such as pores.
This is a recommendation, not a limit the platform enforces. Smaller images are still accepted and analyzed:
Below 256 x 256
Below the minimum supported size. The upload is not blocked — the image is stored and analyzed anyway, and the results are not meaningful.
256 x 256 up to the recommendation
Accepted and analyzed. The Quality parameter returns has_good_resolution: false when neither dimension of the face exceeds 1024 pixels, and the image is flagged as low quality — but analysis still runs and returns scores.
2500 x 2500 with the face at 85% or more
Accepted and analyzed, with all parameters in their reliable range.
A low-quality image does not stop the analysis. If you need to act only on trustworthy results, read the Quality parameter and apply your own threshold rather than assuming every returned score is reliable.
What is the actual processing time for Face Skin Analysis 3.0?
For Face Skin Analysis 3.0, the processing time averages under 5 seconds for 95% of images.
How accurate is Face Skin Analysis 3.0?
Face Skin Analysis 3.0 algorithms were trained on over 30 million real skin images. The algorithms are validated by dermatologists, ensuring high accuracy across diverse skin types and ethnicities. For more details, please reach out to your customer success manager.
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