Gender and Age Detection

Overview

Gender and Age Detection node estimates gender and age for people or faces provided as rectangular detections and returns an overlay plus enriched detection attributes.

Connect detections from People Detection, Face Detection, or similar upstream detectors. For UniFace age, the node returns the mean age of the detected age group (for example 20-29 → 25).

Input

Input Image

image required

The image frame to analyze. Connect this to a camera or upstream image output.

Detected People and Faces

array required

List of people and faces detected in the frame. Each object must include at least a Bounding Box (bbox: [x, y, width, height]). Label, Confidence, and Extra Data use defaults when missing.

Gender and Age Detection Model

string required advanced

Model used for gender and age estimation.

Values:

• ONUF_AGE_GENDER — UniFace: Age and Gender
• ONMV_MIVOLOV2_D1 (default) — MiVOLO v2 D1

Confidence threshold

number required advanced

Minimum confidence score to keep a prediction. See Confidence Threshold for tuning guidance.

Range: 0.0 to 1.0
Default: 0.5

Minimum Person Size

array advanced

Minimum [width, height] of a person box for gender and age detection.

Default: [50, 50]

Minimum Face Size

array advanced

Minimum [width, height] of a face box for gender and age detection.

Default: [25, 25]

Use TensorRT if available

boolean required advanced

Enable TensorRT inference backend when available. Can improve throughput on NVIDIA GPUs.

Default: false

Overlay results

boolean required advanced

Whether to draw results on the output frame. See Overlay Results.

Default: true

Output

Overlay Image

image

Frame with gender and age overlays when overlay is enabled.

Detected People

array

Enriched detections based on the connected people/faces input. Each object includes the original fields plus:

• Age
• Age Group
• Gender — male, female, or unknown