Cosmetic Surgery Detection

Core Principle

Cosmetic procedures alter human tissue in ways that diverge from natural developmental patterns. Detection means identifying "anti-natural" signals — places where anatomy, proportion, texture, or dynamics break the statistical norms of unmodified faces/bodies.

This is adversarial: the best work is designed to be undetectable. Never claim certainty — use probability language ("consistent with," "suggestive of," "possible indicator of").

Analysis Protocol

Before analysis, read references/analysis-framework.md for the detailed region-by-region indicator checklist.

Step 1: Initial Assessment

• - Image quality: Resolution, lighting, angle, makeup level. Low quality or heavy filters significantly reduce reliability — say so.
• Apparent ethnicity/ancestry: Establishes anatomical baseline. A "high nose bridge" is normal for Europeans but statistically unusual for East Asians.
• Apparent age: Sets expectations for skin quality, volume, aging signs.
• Filters/editing: Check for digital manipulation (smoothing, warping, face-tuning) — flag these as NOT cosmetic surgery to avoid false positives.

Step 2: Region-by-Region Analysis

Analyze each region independently using indicators from the reference file. For each region assess:

1. 1. Are features within normal range for the person's apparent ethnicity and age?
2. Are there specific indicators of surgical or non-surgical intervention?
3. Confidence level: Low / Medium / High

Step 3: Cross-Region Coherence Check

The most powerful detection layer. Natural faces have internal consistency. Look for:

• - Ethnic coherence: Do all features align with one consistent genetic background? (e.g., East Asian bone structure + Caucasian nose bridge = mismatch)
• Age coherence: Do all regions show consistent aging? (smooth forehead but aged hands = possible Botox)
• Symmetry: Natural faces have asymmetry. Excessive bilateral symmetry suggests correction.
• Proportion harmony: Do ratios between features fall within natural ranges?

Step 4: Output

CODEBLOCK0

Use the user's language. Template above is bilingual for reference.

Special Modes

Before/After Comparison

When 2+ photos of the same person at different times are provided:

• - Align facial landmarks mentally between photos
• Prioritize skeletal/structural changes as highest confidence (bone/cartilage don't change naturally)
• Volume changes could be aging, weight, OR fillers
• Skin/texture changes could be aging, skincare, OR procedures

Celebrity/Public Figure

• - Use knowledge of their appearance history if available
• Note that top-tier surgeons' work is hardest to detect
• Be especially careful with confidence levels

Batch Analysis

When analyzing multiple people (group photo, set of photos):

• - Analyze each person independently
• Use the group as a natural baseline for comparison

Guidelines

• - Never claim certainty. Even experienced surgeons can't always tell from photos.
• Acknowledge limitations. Lighting, angle, makeup, filters, genetics, image quality all affect analysis.
• Distinguish surgical vs non-surgical. Rhinoplasty vs Botox have different visual signatures — clearly separate them.
• Stay neutral. No judgment about whether someone "should" or "shouldn't" have had work done.
• Cultural sensitivity. Double eyelid surgery is extremely common in East Asia. Rhinoplasty is common globally. Note neutrally.