AI BENCHMARK PROFILE
COMEX
COMEX is a benchmark for explainable aesthetic image cropping containing 33,161 quadruples of expanded image, crop box, composition category, and composition-grounded explanation. It supports joint evaluation of crop localization, composition understanding, and explanation generation.
- Released
- 2026-08-04
- Readiness
- Paper only
- Primary field
- General AI
Why it matters
Provides a structured evaluation of crop-and-explain methods, enabling comparison across models on composition-grounded reasoning and explanation generation, addressing the gap of evaluating explainability in image cropping.
Motivation
Explainable aesthetic image cropping requires not only localizing a visually pleasing crop but also explaining why it is preferred.
Primary resources
Benchmark Radar records only publicly supported details and links back to primary sources for verification.