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Analyze Faces Node

AI/ML/ONNX/Face

Detect faces and extract embeddings, gender and age using a face_id analyzer

face_id_analyzeonnx
Inputs4
Outputs3
Security exposureUnrated
Packageonnx

Ratings

Scores range from 0 to 10. Higher values mean more impact, exposure, or operational weight.

No score metadata has been set for this node yet.

Input Pins

4

Input

Execution
exec_in

Initiate Execution

Analyzer

Struct
analyzer

Face analyzer handle

NodeFaceAnalyzerNodeFaceAnalyzer3 fields
analyzer_refstringrequired

Cache ID for the analyzer

score_thresholdnumber:float

Per-call detector confidence threshold (sessions are shared across threshold variants)

format floatdefault 0.5
iou_thresholdnumber:float

Per-call detector NMS threshold (sessions are shared across threshold variants)

format floatdefault 0.4000000059604645
Schema enforced

Image

Struct
image

Input Image

NodeImageNodeImage1 fields
image_refstringrequired
Schema enforced

Max Faces

Integer
max_faces

Maximum number of faces to embed and analyze

Default 100
Range 1 to 100Step 1

Output Pins

3

Output

Execution
exec_out

Done with the Execution

Faces

Struct Array
faces

Analyzed faces

FaceIdResultFaceIdResult5 fields
bboxBoundingBoxrequired

Face bounding box in pixels (shared object-detection type; carries the detection score)

x1number:floatrequired
format float
y1number:floatrequired
format float
x2number:floatrequired
format float
y2number:floatrequired
format float
scorenumber:floatrequired
format float
+2 more fields
landmarksarray | null

5-point landmarks in pixels [[x, y], ...], if the detector produced them

itemsArray<number:float>array item
itemsnumber:floatarray item
format float
embeddingArray<number:float>required

512-dimensional, L2-normalized identity embedding

itemsnumber:floatarray item
format float
genderstringrequired

Estimated gender ("Male" / "Female")

ageinteger:uint8required

Estimated age in years

format uint8min 0max 255
Schema enforced

Count

Integer
count

Number of detected faces

Node Info

Internal name
face_id_analyze
Category
AI/ML/ONNX/Face
Version
2