Uniformness API Response Scheme
Haut.AI provides AI algorithms that analyze the skin uniformness of different facial areas and the whole face.
Description
The uniformness metric shows how smooth and even your skin is. It takes into account eruption, age spots, freckles, and blood vessels close to the surface, along with texture-associated skin features. The higher the value of this parameter, the more uniform and smooth your skin is.
"algorithm_tech_name": "uniformness"
area_name
area_name
The algorithm returns metrics and sub-metrics for the following facial areas:
face
forehead
right_cheek
left_cheek
main_metric
main_metric
The main metric is an overall score that indicates the uniformness of each area_name
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 onvalue
:(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
sub_metrics
The algorithm doesn't return any
masks_restored
masks_restored
The algorithm returns a vectorized heatmap mask of regions with high non-uniformness for a face-aligned image.
"mask_type": "heatmap_mask"
masks_original
masks_original
The algorithm returns a vectorized heatmap mask of regions with high non-uniformness for an original image
"mask_type": "heatmap_mask"
Example (JSON)
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