> For the complete documentation index, see [llms.txt](https://docs.saas.haut.ai/haut.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.saas.haut.ai/haut.ai/releases/changelog/skin-saas-algorithms-updates.md).
# Skin SaaS algorithms updates
Quality algorithm update and Skintone Classification release
## Quality algorithm update
**Attention to API users:** Quality Algorithm update is coming in 30 days.
**What will change?** The update is focused on making the output more clear and detailed. The update affects submetrics and feedback outputs of the algorithm. Read more below ⬇️
**No actions are required if you:**
* Only use a B2C app constructor;
* Only use the main metric output.
### Upcoming changes
#### Submetrics
| Before | After |
| -------------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| Previously, submetrics were included as *key-value pairs (name: value)* in a separate field *`QualityResult.sub_metrics.`* |
Now, the submetrics’ output has the same structure as the other algorithms’ output in Face Metrics 2.0.
They are now included as a list of Metrics (with value, tech\_name and widget\_type fields) in QualityResult.area\_results\[0].sub\_metrics field
|
Submetrics were also redesigned to better reflect image quality properties for the end-user:
1. The **“detection”** submetric was **removed**;
2. To replace the “detection” submetric, **two new submetrics were introduced: “full\_face\_score”** - the degree of face presence and **“occlusion\_score”** - the degree of skin areas occlusion.
3. **A new submetric “shadows\_score”** is added that indicates the degree of the skin illumination uniformness and the presence of shadows.
#### Feedback
| Before | After |
| -------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| Previously, feedback was included as *key-value pairs (name: value)* in a separate field *`QualityResult.feedback.`* |
Feedback -> Problems\*
“Problems” output is designed to better reflect image quality issues for the end-user. Problems are presented as a list of short codename strings in a new field QualityResult.problems.
\*The old field named “feedback” is deprecated and will be removed.
|
All details regarding the update can be found in[ our documentation.](https://docs.saas.haut.ai/developers/developer-guides/face-application/version-2.0/image-quality-1)
Please contact us via the support desk if you have any further questions.
## Skin Tone Classification
The new skintone classification algorithm has a more clear output than the old Skintone algorithm.
Skintione Classification algorithm analyses how tan the skin is and returns the result as one of the 6 values:
1. Very light - very light skin tone
2. Light- light skin tone
3. Intermediate - intermediate skin tone
4. Tan - tan skin tone
5. Brown- brown skin tone
6. Dark - dark skin tone
Read more about the new algorithm in [our documentation.](https://haut-ai-1.gitbook.io/haut.ai/developers/developer-guides/face-application/version-2.0/skintone_classification)
## Other improvements
✨ We are constantly improving our algorithms and in 30 days we are going to release a new version of the perceived age algorithm!
It is trained on more data and gives more precise results!
***
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