ImageCluster

ImageCluster is a local web application for analyzing digital image collections with visual embeddings, CLIP-like multimodal models, UMAP/t-SNE projection maps, optional clustering, and semantic text search. https://github.com/paolodegasperis/ImageCluster The goal of ImageCluster is to give non-technical users a practical interface for exploring image collections and comparing different embedding models on those collections. The project is inspired by Lev Manovich's ImagePlot software and adapts that tradition of visual cultural analytics to current embedding-based image analysis. Images are read from the local img/ folder and output files are written under output/. Features: Scan a local image folder. Generate image embeddings with OpenCLIP, CLIP, SigLIP, SigLIP 2, MetaCLIP, MobileCLIP and other supported models. Create interactive UMAP or t-SNE projection maps. Explore the projection as points or image thumbnails. Compare how different embedding models organize the same image collection. Run natural-language semantic search over image embeddings. View ranked search results with thumbnails and image detail previews. Optionally run K-Means clustering. Export PNG charts, projection TSV files, search TSV files, sessions and debug reports.