---
license: cc0-1.0
language:
- en
pretty_name: Face Shape Measurement Reference (8 Shapes)
task_categories:
- tabular-classification
tags:
- face-shape
- beauty
- measurements
- reference-table
size_categories:
- n<1K
---

# Face Shape Measurement Reference (8 Shapes)

A compact, reusable reference for identifying face shape from four tape measurements:
**forehead width, cheekbone width, jawline width, and face length**.

## Files

| File | What it is |
| --- | --- |
| `face_shape_measurement_sheet.csv` | One row per shape — oval, round, square, heart, diamond, oblong, triangle/pear, hourglass. The four columns state where each measurement sits *relative to the other three*; `fastest_check` gives the single quickest screening rule for that shape. |
| `classify_face_shape.py` | Zero-dependency Python CLI: give it your four numbers, it returns the shapes whose rules actually match, ranked, with every matched and failed condition listed. Usage: `python classify_face_shape.py --forehead 14.2 --cheekbones 15.0 --jawline 13.6 --length 19.1` |

## How the rules are expressed — and why

The sheet is deliberately **relative, not absolute**. Published face-shape guides describe
shapes with language like "slightly narrower than the cheekbones" or "cheekbones clearly the
widest part". This sheet preserves that structure instead of inventing millimetre cutoffs that
no source supports. The tool's tie band for "roughly equal" is its own adjustable parameter
(`--tol`, default 3%) — not a figure taken from any study.

## Limits, stated plainly

Two judgments cannot come from a tape measure: the **jaw angle** (which separates round from
square) and **chin shape** (which separates heart from diamond). When the four numbers cannot
separate two candidates, the tool reports both and flags the manual check rather than guessing.

## Relationship to image datasets

This is a **rule/measurement reference, not an image dataset**. It is intended to complement
the image-based face-shape datasets on Kaggle and Hugging Face: those train classifiers to
output a shape label, while this sheet documents the relative-width rules that define the
labels themselves.

## Source and full guide

The worked guide — how to set up an honest reading, how to resolve cases where published
guides disagree, and the dated research milestones behind the four-measurement method — is
maintained at **https://faceshapechart.com/**

Code is also mirrored at https://github.com/heroin546-afk/face-shape-measurements

## License

Data sheet: **CC0-1.0** (public domain, no attribution required). Script: MIT.