Hydration Result Scheme
Description
Hydration Algorithm (experimental)algorithm_tech_name
algorithm_tech_nameHydration
area_name
area_nameThe algorithm returns metrics and sub-metrics for the following facial areas:
face
main_metric
main_metricThe main metric is an overall score indicating hydration for each area_name
"main_metric": {
"value": 50,
"widget_type": "bad_good_line",
"name": "Hydration Score",
"tech_name": "hydration_score",
"widget_meta": null
},valuethe hydration score ranges in[0,100]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 is better"name": "Hydration score""tech_name": "hydration_score"
sub_metrics
sub_metrics"sub_metrics": [
{
"value": "Mild Dehydration",
"widget_type": "category",
"name": "Hydration Level",
"tech_name": "hydration_level",
"widget_meta": null
}
]valueone of the following categories ['Severe Dehydration','Moderate Dehydration','Mild Dehydration','Normal Hydration']"widget_type": "category"indicates that"value"is a categorial"name": "Hydration level""tech_name": "hydration_level"
masks_restored
masks_restoredThe algorithm returns a vectorized mask of dehydration (skin areas which suffers from a lack of water) for an restored image
"mask_type": "heatmap_mask"
masks_original
masks_originalThe algorithm returns a vectorized mask of dehydration (skin areas which suffers from a lack of water) for an original image
"mask_type": "heatmap_mask"
Example (JSON)
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