ConedaKOR – store.manage.retrieve.

Tracing Picasso - a Coding Dürer project

AI-driven intelligence for Korean cultural heritage. This package serves as both a ready-to-use newsletter service and a practical implementation example for the LLM-Newsletter-Kit.

ArtResearch ResearchSpace application hosted at https://artresearch.net

Official : Recognizing Characters in Art History Using Deep Learning

Repository for the project "The School of Athens"

Data from the College Art Association's dissertation list and the scripts used to harvest and analyze it.

A package to get random palette from iconic painting of art history

a DFK project to inventorize the items within the Palais Beauharnais

Viewsari — A provenance-aware knowledge graph and web platform for Giorgio Vasari's Lives of the Most Eminent Painters, Sculptors, and Architects (1568). Combines an OWL ontology, LLM-based entity extraction (ObliquER), a gold-standard annotation corpus, and a SPARQL-queryable RDF knowledge graph with an interactive exploration interface.

The terribly accurate clocks of Benrath Palace want to ruthlessly wake up the peacefully sleeping people and animals of art and cultural history. But the player of CLOCKS ATTACK!!! comes to the rescue: he bravely throws fruits at the clocks to protect the sleep of the just.

A lightweight Python package for teaching computational methods through art history. Extract and analyze artist-specific works from WikiArt with built-in visualizations. Designed for digital humanities and computational design courses. Features genre/style analysis, matplotlib integration, and pedagogical clarity over algorithmic complexity.

An image viewer for the art historian.

Data and documentation from the Photographic Collection (Fotothek/Fototeca) of the Bibliotheca Hertziana, Max Planck Institute for Art History

historiette de l'art

data platform for the “OwnReality” research project

Workshop: Digitales Storytelling in der Kunstgeschichte mit IIIF

AI Powered Art History Card 🃏

Muse is an app that is powered by The Metropolitan Museum of Art’s openAccess API. Muse’s goal is to create a user experience that encourages sharing of opinions on art pieces while educating users on art history.

Plafond3D is a collaborative project of DNF and ANR to combine national research data of ceiling paintings and integrate 3D-images