imgs.ai is a fast, dataset-agnostic, deep visual search engine for digital art history based on neural network embeddings.
imgs.ai utilizes modern approximate k-NN algorithms via
Spotify's Annoy library to deliver fast search results even for very large datasets in low-resource environments, and integrates the
OpenAI CLIP model for text-based visual search. Try it below on the complete
Rijksmuseum and
Metropolitan Museum of Art collections (
CC0) or
sign up for an account to access more functions/datasets (institutional email address and approval required.) imgs.ai is developed by
Fabian Offert, with contributions by Peter Bell and Oleg Harlamov. Get in touch at
hi@imgs.ai.