> 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-hair-metrics-2.0/deprecated-version-1.0/hair-color-uniformness.md).

# Hair Color Uniformness

Haut.AI provides an AI algorithm that estimates the level of uniformness in hair color. Response scheme for the deprecated Hair Metrics 1.0.

## **Description**

This metric shows how uniform the hair color is. The higher the value for this parameter, the greater the uniformness of the hair color.

**`"algorithm_tech_name": "hair_color_uniformness"`**

## `area_name`

The algorithm returns metrics for the following area:

* `hair`

## `main_metric`

The main metric is an overall score indicating the hair color uniformness score for `area_name`

```javascript
"main_metric": {
                "value": 90,
                "widget_type": "bad_good_line",
                "name": "Hair Color Uniformness",
                "tech_name": "hair_color_uniformness",
                "widget_meta": null
            },
```

![](https://245161714-files.gitbook.io/~/files/v0/b/gitbook-legacy-files/o/assets%2F-MWxBX_zB4FnflOpyBGO%2F-MiR_5V3nq8FGSCAlM0O%2F-MiR_LRHmZpGIxOo4dyC%2F%D0%94%D0%BE%D0%BA%206_6.jpeg?alt=media\&token=74c536e5-ad13-42ba-8a1d-e3983b34f41f)

* **`value`** The color uniformness score ranges from `[0,100]`*. The higher the value of this parameter, the more uniform the color of the hair.* The uniformness can be divided into six classes based on `value`:
  * `(90,100]` - Completely uniform
  * `(80,90]` - Highly uniform
  * `(70,80]` - Mostly uniform
  * `(50,70]` - Average unevenness
  * `(30, 50]` - Mostly uneven
  * `[0,30]` - Completely uneven
* `"widget_type": "bad_good_line"` indicates that a higher value corresponds to even hair color
* `"name": "Hair Color Uniformness"`
* `"tech_name": "hair_color_uniformness"`

## `sub_metrics`

**None** **-** there are no sub-metrics for hair color uniformness

## `masks_restored`

**None** **-** there are no restored masks for hair color uniformness

## `masks_original`

**None** **-** there are no original masks for hair color uniformness

## **Example (JSON)**

{% file src="/files/-MgFUe2TNxcl4\_eoGS0Y" %}

***

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

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---

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