Pores Result Scheme
Haut.AI provides an AI algorithm that estimates pores in different facial areas and the whole face.
Description
Pores Algorithmalgorithm_tech_name
algorithm_tech_name
pores
area_name
area_name
The algorithm returns metrics and sub-metrics for the following facial areas:
face
forehead
nose
right_cheek
left_cheek
main_metric
main_metric
The main metric is an overall score indicating the pores for each area_name
"main_metric": {
"value": 64,
"widget_type": "bad_good_line",
"name": "Pores Score",
"tech_name": "Pores_score",
"widget_meta": null
},
value
the pores score ranges from[0,100]
More large pores are associated with a lower value for this parameter"widget_type": "bad_good_line"
indicates that a higher value corresponds to a better skin condition.This 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
"name": "Pores score"
"tech_name": "pores_score"
sub_metrics
sub_metrics
The algorithm returns sub-metrics for "area_name": face
only
"sub_metrics": [
{
"value": 455,
"widget_type": "numeric",
"name": "Pores Number",
"tech_name": "pores_number",
"widget_meta": null
},
{
"value": 1,
"widget_type": "density",
"name": "Pores Density",
"tech_name": "pores_density",
"widget_meta": null
}
Pores Number
estimates the number of detected poresvalue
The number of detected pores"widget_type": "numeric"
"name": "Pores Number"
"tech_name": "pores_number"
Pores Density
estimates the density of detected poresvalue
the density of detected pores on the skin"widget_type": "density"
"name": "Pores Density"
"tech_name": "pores_density"
masks_restored
masks_restored
The algorithm returns a vectorized mask of pores for a face-aligned image
"mask_type": "point_mask"
masks_original
masks_original
The algorithm returns a vectorized mask of pores for an original image
"mask_type": "point_mask"
Example (JSON)
Last updated
Was this helpful?