Face Shape Data
Everything the face shape detector uses to turn a photo into one of seven shapes, published as plain files so anyone can check it, copy it or argue with it.
What is in here
- face-shape-ratios.csv — the seven target profiles: for each shape, the three ratios the detector compares against, and how far a ratio may sit from the target before it stops counting as a match.
- face-shape-measurements.csv — the four measurements, the landmark indices each one is taken between, and how each is reported.
- face-shape-worksheet.pdf — the printable tape-measure worksheet, as a PDF.
- golden-ratio-ratios.csv — the five ratios the golden ratio face check reads, with the target and tolerance for each one and where the target comes from.
- golden-ratio-landmarks.csv — every landmark index used on that page and what each one marks.
- golden-ratio-formula-sheet.pdf — the same ratio table and formulas as a printable sheet.
How the numbers are produced
- A face landmark model finds 468 points on the photo. The model file is served from this site and runs on your own device; the photo is never uploaded.
- Four widths and lengths are read off those points: forehead width, cheekbone width, jaw width and face length.
- All four are expressed as a percentage of face length, which is fixed at 100. They are relative proportions of your own photo, not millimetres or inches.
- Three ratios follow: length ÷ cheekbone width, forehead width ÷ cheekbone width, and jaw width ÷ cheekbone width.
- Each of the seven target profiles is scored by how far those three ratios sit from it, scaled by the tolerances in the CSV. The closest profile wins; the score shown in the tool is that closeness measure, not a probability.
The seven target profiles
| Shape | length ÷ cheekbone | forehead ÷ cheekbone | jaw ÷ cheekbone |
|---|---|---|---|
| Oval | 1.45 | 0.86 | 0.76 |
| Round | 1.18 | 0.90 | 0.86 |
| Square | 1.22 | 0.97 | 0.95 |
| Heart | 1.42 | 1.00 | 0.70 |
| Diamond | 1.50 | 0.74 | 0.72 |
| Oblong | 1.75 | 0.88 | 0.84 |
| Triangle | 1.32 | 0.80 | 1.02 |
A ratio may sit up to 0.30 (length ÷ cheekbone) or 0.12 (the two width ratios) away from a profile and still count as a match, which is why two shapes can score close together on the same face.
What this data cannot tell you
- A photo has no scale reference, so no tool can give you real-world millimetres or inches from a photo alone. These are proportions of your own image.
- The profiles are a styling estimate, not a medical or anatomical classification, and not a measurement of a real frame size.
- Pose, lighting, hair across the forehead, glasses and lens distortion all shift the landmark points, and therefore the ratios.
- Someone can sit between two profiles. The tool reports the closest one; it does not claim the others are wrong.
Using or citing this data
If you want to refer to these numbers, this wording is accurate: “Target ratio profiles and tolerances published by Face Shape Hub (faceshapehub.com/data/), retrieved [date].”
These files are published under the Creative Commons Attribution 4.0 International licence (CC BY 4.0): you may copy, redistribute and adapt them, including commercially, as long as you give appropriate credit — the citation line above is enough. The licence text is the authoritative version.