Research & Accuracy
Scientific honesty and credibility. We publish our methodology, accuracy targets, and known limitations.
Current Accuracy Targets
This represents our current target for the minimum viable product. Accuracy varies by condition and element type.
Methodology
Element Definitions
Each facial element is defined with clear boundaries, measurement criteria, and sub-classifications. Definitions are based on established facial analysis literature.
Weighting Logic
Condition correlations use weighted matrices where element contributions are determined by clinical literature and validation studies.
Confidence Scoring
Confidence tiers are calculated based on element correlation strength, image quality factors, and historical validation data.
Validation Process
Results are validated against clinical outcomes through ongoing research partnerships and anonymized outcome tracking.
Known Limitations
We believe in transparent communication about what our system can and cannot do. These limitations are actively being addressed in our research roadmap.
Extreme lighting (too bright/dark) can affect element detection accuracy.
We're actively working on improving accuracy across all skin tones through diverse training data.
Low-resolution cameras may reduce element detection precision.
Glasses, makeup, or facial hair may affect certain element measurements.
Bias Mitigation Roadmap
Diverse Training Data
Expanding training datasets to include diverse demographics, skin tones, and age groups.
Fairness Audits
Regular third-party audits to identify and address accuracy disparities across groups.
Adaptive Models
Implementing adaptive calibration based on user demographics for improved accuracy.