Face shape guide

How Accurate Is a Face Shape Analyzer?

A face-shape analyzer can provide a useful and repeatable estimate, but it cannot turn a photograph into a perfectly objective face-shape measurement. Accuracy depends on the image, the landmark detection, the measurements used, and the classification rules.

What the analyzer can do well

A browser-based analyzer can consistently locate facial landmarks and calculate relationships between points. That is useful because it reduces the subjectivity of simply looking at a photograph and choosing a category.

What can affect the result?

• Head rotation or tilt
• Camera perspective and lens distortion
• Lighting and shadows
• Facial expression
• Image quality and landmark visibility
• Faces that sit close to the boundary between categories

Why the result is an estimate

There is no single universally accepted mathematical definition for every face-shape category. Different systems can use different thresholds. A result should therefore be understood as a best-fit classification based on the method used by that particular analyzer.

How MyFaceShaper approaches the problem

MyFaceShaper uses facial landmarks detected in the browser and compares derived proportions with a rule-based classification. The photo is processed locally in the browser rather than being uploaded to a MyFaceShaper server.

Use the result as a starting point

The most useful outcome is not a label by itself, but a better understanding of your proportions and the styling information associated with them. Try the free analyzer, then read the guide for your result.