Date coverage: 1200 - 2000 Website Contact

Digitization of collections Machine Learning Tools for data mining/extraction Drawings, prints, and other pictorial sources

How can digital tools assist researchers in the study of works of art? How can such tools help the general public explore, discover and connect to our cultural and artistic past?

The digitization of millions of artworks by museums, libraries and cultural institution brings unprecedented access and opportunity to engage with collections. It also poses new challenges in the search, retrieval, and analysis of visual material. Currently, online databases of art can only be searched through keywords, or tags, namely the textual metadata of the original object. Textual queries, however, are not designed to search visual information which has not been indexed – they cannot for instance find similar shapes, forms, or motifs. This is why a new tool for searching art through its visual attributes is needed.

The Replica project led by the DHLAB aims to build the first search engine designed specifically for the search and exploration of artistic collections (including paintings, drawings, engravings, sculpture and photography). This employs the latest state-of-the art artificial intelligence techniques, such as Deep Learning and Convolutional Neural Networks, for the search and display of information.

In partnership with the Giorgio Cini Foundation in Venice and Factum Arte in Madrid, the Replica project aims to digitize roughly one million artistic reproductions using these images to populate the new search engine and as the basis for new art historical inquiries. 

Adam Lowe and Factum Arte have been collaborating with the Fondazione Giorgio Cini for a long time and have now built a specially designed circular scanning system, capable of recording 12 A3 sized double sided images at 400DPI per minute. The paired images are automatically downloaded with metadata tags and archived. The scanner is also equipped with a system of automatic object detection, a controlled light source and instant visualization of the images as they are being recorded. 

Replica opens new avenues for exploring and engaging with artistic collections. It assists art historians in the study of iconography, the transmission of forms, styles and patterns, while engaging larger audiences in a process of learning and discovery. 

Project partners

Other partners

  • Factum Arte Foundation

Public datasets

REPLICA dataset

REPLICA dataset

License: No license

With financial support by