SEMANTICA (2026)

(algorithmic vision taxonomy and vector map)
Doc. ref: HK-SEMANTICA-2026
Category
Research
Medium
TypeScript, React 19, Express, Gemini & EmbeddingGemma APIs
Venue
github.com/closestfriend/semantica
State
complete
Tags
vision, embeddings, taxonomy

An inspection workbench for indexing and comparing algorithmic vision specimens across structural, operational, and epistemic axes. Each specimen is analyzed through a server-side vision pass that extracts formal traits, failure signatures, and curatorial metadata into a typed schema, paired with dense semantic embeddings for spatial projection.

The frontend pairs a faceted taxonomic matrix with a two-dimensional vector canvas. Users can project specimens by cosine similarity, inspect nearest-neighbor clusters, and query the corpus for structural parallels across disparate imaging pipelines.

Last updated: 2026.10.27 22:09:40 UTChunter@hnsk.site