Uniformness Result Scheme

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

Description

Uniformness Algorithm

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

"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 uniformness 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

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

Example (JSON)

29KB

uniformness.json