> 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/developers/saas-api-overview/api-for-face-metrics-2.0/uniformness.md).

# Uniformness Result Scheme

Haut.AI provides AI algorithms that analyze the skin uniformness of different facial areas and the whole face.

## **Description**

{% content-ref url="/pages/JglpYbLK9mFsotscQkWw" %}
[Uniformness Algorithm (experimental)](/haut.ai/haut.ai-features/algorithms/face-metrics-2-0/uniformness-algorithm-experimental.md)
{% endcontent-ref %}

## `algorithm_tech_name`

`uniformness`

## `area_name`

The algorithm returns metrics and sub-metrics for the following facial areas:

* `face`
* `forehead`
* `right_cheek`
* `left_cheek`

## `main_metric`

The main metric is an overall score that indicates the uniformness of each `area_name`

```javascript
"main_metric": {
                "value": 30,
                "widget_type": "bad_good_line",
                "name": "Uniformness Score",
                "tech_name": "uniformness_score",
                "widget_meta": null
            },
           
```

* **`value`** The uniformness score ranges from `[0,100]`*The higher the value of this parameter, the more uniform and smooth your skin is.*
* The score can be classified into six classes based on `value`:
  * `(90,100]` - Excellent
  * `(80,90]` - Great
  * `(70,80]` - Good
  * `(50,70]` - Average
  * `(30, 50]` - Poor
  * `[0,30]` - Bad
* `"widget_type": "bad_good_line"` indicates that a higher value corresponds to a better skin condition
* `"name": "Uniformness score"`
* `"tech_name": "uniformness_score"`

## `sub_metrics`

The algorithm doesn't return any

## `masks_restored`

The algorithm returns a vectorized heatmap mask of regions with high non-uniformness for a face-aligned image.

* `"mask_type": "heatmap_mask"`
* `features`

  * geometry
    * `"type": "Multipolygon"`

  See more on Masks [here](/haut.ai/haut.ai-features/algorithms/algorithm-results.md#masks)

## `masks_original`

The algorithm returns a vectorized heatmap mask of regions with high non-uniformness for an original image

* `"mask_type": "heatmap_mask"`
* `features`

  * geometry
    * `"type": "Multipolygon"`

  See more on Masks [here](/haut.ai/haut.ai-features/algorithms/algorithm-results.md#masks)

## **Example (JSON)**

{% file src="/files/NeW6oCRt9Xa0GbaLLTFo" %}

***

{% hint style="warning" %}
Not a Haut.AI client yet?
{% endhint %}

<a href="https://haut.ai/book-a-demo?utm_source=referral&#x26;utm_medium=saas_docs&#x26;utm_campaign=Docs_SaaS_HautAI" class="button primary" data-icon="user-vneck">Book a demo</a> <a href="https://haut.ai/product/ai-skin-analysis?utm_source=referral&#x26;utm_medium=saas_docs&#x26;utm_campaign=Docs_SaaS_HautAI" class="button secondary" data-icon="external-link">Platform overview on haut.ai</a>


---

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