Aesthetic Scorer Skill

This skill provides comprehensive aesthetic evaluation and improvement suggestions for images and photographs through a dynamic weighted two-tier architecture.

Architecture Overview

Two Evaluation Sources with Dynamic Weight:

1. Improved Aesthetic Predictor: CLIP ViT-L/14 + MLP for content-level aesthetic scoring

   • Understands image semantics and visual impact
   • Base Weight: 45% (adjustable 45%-70% based on NIMA consensus)

2. NIMA (Neural Image Assessment): MobileNet for technical quality scoring

   • Provides detailed quality distribution and standard deviation
   • Base Weight: 55% (adjustable 30%-55% based on NIMA consensus)