The benchmark for AI skin analysis

SkinBench is an open benchmark for AI skin analysis: compare model accuracy on skin metrics across skin tones, ages and lighting conditions.

Explore the benchmark
Placeholder: AI skin analysis heatmap over a face photo

Why SkinBench

  • Diverse dataset

    Images across all Fitzpatrick skin types, ages and genders.

  • Expert annotations

    Ground truth labelled by board-certified dermatologists.

  • Transparent metrics

    Open methodology and reproducible scoring for every model.

FAQ

What is SkinBench?

SkinBench is a benchmark that measures how accurately AI models analyse skin from photos.

Who can submit a model?

Any research team or company working on skin analysis can submit a model for evaluation.

Is the benchmark free?

Yes, the benchmark results and methodology are publicly available.