Clutter image rating tool

The clutter image rating tool analyzes digital images to produce a quantitative clutter score. It targets designers, researchers, marketers, and stock-image teams who need to assess how busy a scene is, before selecting assets or planning layouts.
Conceptually, the tool derives a feature vector from the input image: object density, color variety, texture entropy, edge density, and saliency dispersion. It then combines these signals with a configurable weighting scheme to yield a normalized clutter score, typically 0 (uncluttered) to 1 (highly cluttered).
Key differentiators include batch processing, exportable feature vectors, and transparent calculation rules. Users can adjust feature weights to reflect domain priorities (e.g., advertising favors lower clutter; editorial images may tolerate higher density). The tool does not perform aesthetic judgments; it measures structural complexity and layout density.
Common use cases include pre-screening asset libraries for consistent visual density, planning page layouts, supporting A/B tests for UI or marketing materials, and quantifying changes over time. Outputs include a numeric score, a feature vector, and optional confidence metrics. This enables reproducible comparisons across images and campaigns.