Uniformness Result Scheme
Haut.AI provides AI algorithms that analyze the skin uniformness of different facial areas and the whole face.
Description
Uniformness Algorithm (experimental)algorithm_tech_name
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
"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
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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