Acne Inflammation Result Scheme
Acne Pro
Acne Inflammation mask visualization
How to filter this result in API response
Filter by field algorithm_family_tech_name
search for value acne.acne_inflammation
How to check if the calculation was successful
Check for the field is_ok
"is_ok": true # no errorsMask
The algorithm returns several vectorised masks of Acne Inflammation for an image aligned with the face.
For a batch mode, all masks for left and right side pictures are attached to the frontal image result.
For a single image analysis - only frontal mask is available. For a batch - left, front and right masks are available.
Example JSON
{
"id": "0678762e-7b49-49b5-b922-34199cf0de5b",
"result": {
"revision": "master-25cce909",
"image_type": "selfie",
"area_results": [
{
"area_name": "face",
"main_metric": {
"name": "Acne Inflammation",
"units": "per mille",
"value": 21,
"tech_name": "acne_inflammation",
"widget_meta": null,
"widget_type": "percentage",
"widget_show": true
},
"sub_metrics": []
},
{
"area_name": "chin",
"main_metric": {
"name": "Acne Inflammation",
"units": "per mille",
"value": 4,
"tech_name": "acne_inflammation",
"widget_meta": null,
"widget_type": "percentage",
"widget_show": true
},
"sub_metrics": []
},
{
"area_name": "nose",
"main_metric": {
"name": "Acne Inflammation",
"units": "per mille",
"value": 0,
"tech_name": "acne_inflammation",
"widget_meta": null,
"widget_type": "percentage",
"widget_show": true
},
"sub_metrics": []
},
{
"area_name": "forehead",
"main_metric": {
"name": "Acne Inflammation",
"units": "per mille",
"value": 5,
"tech_name": "acne_inflammation",
"widget_meta": null,
"widget_type": "percentage",
"widget_show": true
},
"sub_metrics": []
},
{
"area_name": "left_cheek",
"main_metric": {
"name": "Acne Inflammation",
"units": "per mille",
"value": 0,
"tech_name": "acne_inflammation",
"widget_meta": null,
"widget_type": "percentage",
"widget_show": true
},
"sub_metrics": []
},
{
"area_name": "right_cheek",
"main_metric": {
"name": "Acne Inflammation",
"units": "per mille",
"value": 78,
"tech_name": "acne_inflammation",
"widget_meta": null,
"widget_type": "percentage",
"widget_show": true
},
"sub_metrics": []
}
],
"algorithm_tech_name": "acne_inflammation",
"masks_restored": [
{
"type": "FeatureCollection",
"mask_type": "polygon_mask",
"features": [
{
"type": "feature",
"geometry": {
"type": "MultiPolygon",
"coordinates": [
[
[
[
410,
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],
[
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],
[
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],
[
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],
[
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]
]
],
[
[
[
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],
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],
[
232,
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],
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],
[
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[
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]
]
],
[
[
[
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]
],
[
[
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[
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[
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]
],
[
[
[
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[
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163,
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],
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159,
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159,
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[
160,
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],
[
170,
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],
[
170,
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],
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],
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179,
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],
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194,
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194,
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],
[
198,
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[
195,
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],
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189,
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[
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],
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],
[
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]
]
]
]
},
"properties": {
"intensity": 1
}
}
],
"view_box": "0 0 660 660",
"name": "Acne Inflammation Mask",
"tech_name": "acne_inflammation_mask_restored",
"fill": "#FD6BBE",
"side": "front"
}
],
"masks_original": []
},
"is_ok": true,
"image_id": "32133003-1d3c-4cfe-95b6-97a8efe70897",
"algorithm_version_id": 97,
"creation_time": "2025-02-26 10:34:05",
"application_id": "7497f948-3de0-48be-be0f-a53ccfbec7fd",
"application_name": "Acne",
"application_description": "Use this app to precisely analyse acne conditions. This algorithm was developed under the supervision of a skin physiology specialist and can distinguish between 4 different acne manifestations, such as (1) papules, (2) pustules, (3) acne inflammation and (4) post-acne hyperpigmentation. This new algorithm will help to assess the severity of acne in a more detailed way and evaluate the dynamics of change of this skin condition.",
"application_run_id": "4833ea3f-55d6-4e9d-bcc1-ea14fa14fcee",
"image_type": "selfie",
"algorithm_family_tech_name": "acne.acne_inflammation"
}Last updated
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