Sagging API Response Scheme
Haut.AI provides an AI algorithm that evaluates the condition of nasolabial folds.
The algorithm is deprecated. We suggest to use Lines algorithm that includes sagging
Description
“Smile lines”, or nasolabial folds, are a common facial feature. These folds run from each side of the nose to the corners of the mouth. The formation of nasolabial folds is associated with the structure of the human face, sagging of midface soft tissue, and a prominent decline in facial muscle tone, which is caused by aging.
The higher the value of this parameter, the less saggy the skin.
"algorithm_tech_name": "sagging"
area_name
area_name
The algorithm returns metrics for the following facial areas:
face
right_cheek
left_cheek
main_metric
main_metric
The main metric is an overall score indicating the quality of each area_name
value
the sagging score ranges from[0,100]
. The higher the value of this parameter, the less saggy the face. The sagging 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 is better."name": "Sagging score"
"tech_name": "sagging_score"
sub_metrics
sub_metrics
The algorithm doesn't return any.
masks_restored
masks_restored
The algorithm returns a vectorized mask of wrinkles for a face-aligned image.
"mask_type": "polyline_mask"
masks_original
masks_original
The algorithm returns a vectorized mask of wrinkles for an original image.
"mask_type": "polyline_mask"
Example (JSON)
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