Face Age Estimation
A biological age signal from your camera
Biological age from a photograph
Chronological age counts years. Biological age reflects how your body is actually aging. Face age estimation provides one accessible signal of biological aging that you can track without a lab visit. Omnio uses MiVOLO v2, a state-of-the-art neural network for age estimation from facial photographs, to produce a biological age estimate from a simple selfie. The value of face age is not in any single measurement -- it is in the trend. Taken consistently over months, your face age trajectory can reflect the impact of sleep improvements, stress reduction, nutritional changes, and training adaptations. A decreasing gap between your face age and chronological age suggests your interventions are working. Combined with other Omnio data, face age adds a visual, intuitive dimension to your health tracking that resonates in a way raw numbers sometimes do not.
Face age capabilities
Omnio's face age system includes:
- MiVOLO v2 neural network inference for accurate age estimation
- Quality checks for face frontality, resolution, and lighting before processing
- Saliency visualisation showing which facial regions influence the estimate
- Longitudinal tracking to chart face age trends over weeks and months
- Integration with body composition and biomarker data for a multi-signal biological age picture
Frequently Asked Questions
- How accurate is the face age estimate?
- MiVOLO v2 achieves state-of-the-art accuracy on benchmark datasets. Individual estimates may vary by a few years; the trend over time is more informative than any single reading.
- How often should I take a face age photo?
- Weekly or biweekly under consistent lighting gives the best trend data. Consistency in conditions matters more than frequency.
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