image-analysis-art
CommunityQuantify art style, color, and texture from images.
Education & Research#color palette#grad-cam#art analysis#cnn features#wikiart#style classification#texture analysis
Authorxjtulyc
Version1.0.0
Installs0
System Documentation
What problem does it solve?
It helps you analyze paintings computationally by turning raw artwork images into measurable style, color, and texture signals you can compare or cluster.
Core Features & Use Cases
- CNN feature extraction & visualization: Extract ResNet50/VGG16 embedding vectors and use PCA/UMAP or t-SNE to explore style clusters.
- WikiArt-driven style classification: Fine-tune a pretrained CNN to predict WikiArt style/artist/genre labels and create attribution via Grad-CAM.
- Color + texture quantification: Compute dominant palettes (k-means), compare color distributions (HSV histograms with Bhattacharyya distance), and characterize brushstroke texture using Gabor filterbanks and rotation-invariant LBP.
Quick Start
Use the image-analysis-art Skill to extract ResNet50 features from a folder of WikiArt paintings and cluster them to identify style groupings.
Dependency Matrix
Required Modules
torchtorchvisionopencv-pythonnumpymatplotlibscikit-learnumap-learndatasetsscikit-imagepillow
Components
referencesassets
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: image-analysis-art Download link: https://github.com/xjtulyc/awesome-rosetta-skills/archive/main.zip#image-analysis-art Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
Agent Skills Search Helper
Install a tiny helper to your Agent, search and equip skill from 471,000+ vetted skills library on demand.