Add face shape measurement sheet, dataset card and four-measurement CLI
Browse files- README.md +60 -0
- classify_face_shape.py +144 -0
- face_shape_measurement_sheet.csv +9 -0
README.md
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---
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license: cc0-1.0
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language:
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- en
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pretty_name: Face Shape Measurement Reference (8 Shapes)
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task_categories:
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- tabular-classification
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tags:
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- face-shape
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- beauty
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- measurements
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- reference-table
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size_categories:
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- n<1K
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---
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# Face Shape Measurement Reference (8 Shapes)
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A compact, reusable reference for identifying face shape from four tape measurements:
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**forehead width, cheekbone width, jawline width, and face length**.
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## Files
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| File | What it is |
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| --- | --- |
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| `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. |
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| `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` |
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## How the rules are expressed — and why
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The sheet is deliberately **relative, not absolute**. Published face-shape guides describe
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shapes with language like "slightly narrower than the cheekbones" or "cheekbones clearly the
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widest part". This sheet preserves that structure instead of inventing millimetre cutoffs that
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no source supports. The tool's tie band for "roughly equal" is its own adjustable parameter
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(`--tol`, default 3%) — not a figure taken from any study.
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## Limits, stated plainly
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Two judgments cannot come from a tape measure: the **jaw angle** (which separates round from
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square) and **chin shape** (which separates heart from diamond). When the four numbers cannot
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separate two candidates, the tool reports both and flags the manual check rather than guessing.
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## Relationship to image datasets
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This is a **rule/measurement reference, not an image dataset**. It is intended to complement
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the image-based face-shape datasets on Kaggle and Hugging Face: those train classifiers to
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output a shape label, while this sheet documents the relative-width rules that define the
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labels themselves.
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## Source and full guide
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The worked guide — how to set up an honest reading, how to resolve cases where published
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guides disagree, and the dated research milestones behind the four-measurement method — is
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maintained at **https://faceshapechart.com/**
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Code is also mirrored at https://github.com/heroin546-afk/face-shape-measurements
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## License
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Data sheet: **CC0-1.0** (public domain, no attribution required). Script: MIT.
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classify_face_shape.py
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#!/usr/bin/env python3
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"""Classify face shape candidates from four tape measurements.
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Only relative comparisons between your four numbers are used, because published
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face-shape guides state their rules in relative terms. "Roughly equal" uses a
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single tie band (--tol, default 3%) that is this tool's own parameter, not a
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figure from any published study. Where measurements alone cannot separate two
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shapes (e.g. round vs square depends on jaw angle), the tool says so instead
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of inventing an answer.
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Usage:
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python classify_face_shape.py --forehead 14.2 --cheekbones 15.0 \
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--jawline 13.6 --length 19.1 [--tol 0.03] [--json]
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"""
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from __future__ import annotations
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import argparse
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import json
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import sys
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WIDTHS = ("forehead", "cheekbones", "jawline")
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MANUAL_CHECKS = (
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"Manual check (a tape cannot see this): "
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"round vs square needs the jaw angle (soft curve vs strong angle); "
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"heart vs diamond partly needs chin shape (pointed vs tapered)."
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)
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def make_rules(tol: float):
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"""Rule table: shape -> list of (condition_fn, plain-English condition).
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The comparisons mirror the rules published in the guide at
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https://faceshapechart.com/ — stated there in relative terms only.
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"""
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def width(m):
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return max(m[k] for k in WIDTHS)
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def roughly(a, b, factor=1.0):
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return abs(a - b) <= tol * factor * max(a, b)
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def widest_is(key, strict=False):
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def check(m):
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w = width(m)
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if m[key] < w * (1 - tol): # clearly below the widest
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return False
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if strict: # must beat the others outright
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return all(m[key] > m[o] * (1 - tol) for o in WIDTHS if o != key)
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return True
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return check
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return {
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"oval": [
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(widest_is("cheekbones"), "cheekbones widest"),
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(lambda m: m["length"] > width(m) * (1 + tol * 0.5), "face longer than wide"),
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(lambda m: m["jawline"] < m["cheekbones"] * (1 - tol * 0.5), "jaw narrower than cheekbones"),
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],
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"round": [
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(lambda m: roughly(m["length"], width(m), 1.2), "length roughly equal to width"),
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(lambda m: roughly(m["forehead"], m["jawline"], 1.5), "forehead roughly equal to jawline"),
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],
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"square": [
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(lambda m: roughly(m["forehead"], m["cheekbones"], 1.5) and roughly(m["cheekbones"], m["jawline"], 1.5), "forehead, cheekbones, jawline roughly equal"),
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(lambda m: roughly(m["length"], width(m), 1.2), "length roughly equal to width"),
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],
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"heart": [
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(widest_is("forehead", strict=True), "forehead clearly widest"),
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(lambda m: m["jawline"] < m["forehead"] * (1 - tol * 0.5), "jaw narrower than forehead"),
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],
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"diamond": [
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(widest_is("cheekbones", strict=True), "cheekbones clearly widest"),
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(lambda m: m["forehead"] < m["cheekbones"] * (1 - tol * 0.5), "forehead narrower than cheekbones"),
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(lambda m: m["jawline"] < m["cheekbones"] * (1 - tol * 0.5), "jaw narrower than cheekbones"),
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],
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"oblong": [
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(lambda m: m["length"] > width(m) * (1 + 4 * tol), "length clearly greater than width"),
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(lambda m: roughly(m["forehead"], m["cheekbones"], 1.5) and roughly(m["cheekbones"], m["jawline"], 1.5), "forehead, cheekbones, jawline roughly equal"),
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],
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"triangle (pear)": [
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(widest_is("jawline", strict=True), "jawline clearly widest"),
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(lambda m: m["jawline"] > m["cheekbones"] * (1 + tol * 0.5), "jaw wider than cheekbones"),
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],
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"hourglass": [
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(lambda m: m["cheekbones"] >= m["forehead"] * (1 - tol) and m["jawline"] > m["forehead"] * (1 - tol) and m["jawline"] >= width(m) * (1 - 2 * tol), "cheekbones AND jawline both prominent"),
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(lambda m: roughly(m["length"], width(m) * 1.1, 2.0), "length balanced against width"),
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],
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}
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def classify(m: dict, tol: float):
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rules = make_rules(tol)
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results = {}
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for shape, conds in rules.items():
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matched = [text for fn, text in conds if fn(m)]
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failed = [text for fn, text in conds if not fn(m)]
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results[shape] = {"score": len(matched), "total": len(conds), "matched": matched, "failed": failed}
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return results
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def main() -> int:
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p = argparse.ArgumentParser(description="Rank face-shape candidates from four measurements.")
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p.add_argument("--forehead", type=float, required=True, help="widest width across the forehead")
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p.add_argument("--cheekbones", type=float, required=True, help="widest width across the cheekbones")
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p.add_argument("--jawline", type=float, required=True, help="width across the jawline")
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p.add_argument("--length", type=float, required=True, help="hairline-to-chin length")
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p.add_argument("--tol", type=float, default=0.03, help="tie band for 'roughly equal' as a fraction (default 0.03 = 3%%); this tool's own parameter, not a published figure")
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p.add_argument("--json", action="store_true", help="print raw JSON")
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a = p.parse_args()
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if min(a.forehead, a.cheekbones, a.jawline, a.length) <= 0:
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p.error("all four measurements must be positive numbers (any consistent unit)")
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m = {"forehead": a.forehead, "cheekbones": a.cheekbones, "jawline": a.jawline, "length": a.length}
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results = classify(m, a.tol)
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if a.json:
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print(json.dumps({"measurements": m, "tol": a.tol, "results": results}, indent=2))
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return 0
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ranked = sorted(results.items(), key=lambda kv: (-kv[1]["score"], kv[0]))
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best = ranked[0][1]["score"]
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top = [s for s, r in ranked if r["score"] == best]
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print("Measurements: forehead=%.4g cheekbones=%.4g jawline=%.4g length=%.4g (tol=%.0f%%)"
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% (a.forehead, a.cheekbones, a.jawline, a.length, a.tol * 100))
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print()
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print("Top candidate(s): %s" % ", ".join(top))
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print()
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for shape, r in ranked:
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tag = "OK " if not r["failed"] else " "
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print(" %s[%s] %d/%d matched" % (tag, shape.ljust(16), r["score"], r["total"]))
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for t in r["matched"]:
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print(" + %s" % t)
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for t in r["failed"]:
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print(" - %s" % t)
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print()
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print(MANUAL_CHECKS)
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return 0
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if __name__ == "__main__":
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sys.exit(main())
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face_shape_measurement_sheet.csv
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"face_shape","forehead","cheekbones","jawline","face_length","fastest_check"
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"oval","slightly narrower than cheekbones","widest, gently rounded","softly curved, narrower than cheekbones","longer than width","length greater than width; cheekbones widest; soft jaw"
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"round","about equal to jawline","full cheeks; width roughly equals length","soft, no strong angle","roughly equal to width","length equals width; no angles"
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"square","broad; roughly equal to cheekbones and jawline","roughly equal to forehead and jawline","strong and angular","roughly equal to width","forehead, cheekbones and jawline equal; angular jaw"
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"heart","widest point (broad forehead)","taper toward the chin","narrow; chin narrow and pointed","longer than lower-face width","widest at forehead; narrow chin"
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"diamond","narrower than cheekbones","clearly the widest point","narrow; chin pointed","longer than width","cheekbones dominant; narrow forehead and chin"
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"oblong","roughly equal to cheekbones and jawline","straight cheek line","similar width to forehead","noticeably longer than width","length clearly greater than width; straight sides"
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"triangle (pear)","narrowest feature","narrower than jawline","widest and broad","varies","jaw is the widest point"
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"hourglass (rare)","narrower than cheekbones","prominent and wide","wide and angular","balanced","cheekbones AND jawline both prominent"
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