Italian Art Computer Vision Analysis
Currently I’m working on a project to improve collaboration between art history photo archives specializing, for the time being, in Italian art.
The work has been progressing in a number of phases:
Phase 1: (Completed) Computer vision analysis was completed upon the Frick Photoarchive’s collection of anonymous Italian art images. The results of this analysis can be found here.
Phase 2: (Completed) The images from the Frick Photoarchive’s anonymous Italian collection and the Zeri Foundation’s 15th and 16th century Italian art collections were combined using computer vision techniques to find similar photos between the collections. The results of this work were detailed in a presentation at the annual PHAROS meeting.
Funding for this portion of the project was provided by a Digital Resources grant from the Kress Foundation, in cooperation with the Frick Photoarchive.
Phase 3: (Completed) Creating a unified, searchable, database of Italian art photos compiled from the member institutions of PHAROS (International consortium of art history photo archives). The database is live at: http://images.pharosartresearch.org/. Work was completed by June 2016.
Funding for this portion of the project was also provided by a Digital Resources grant from the Kress Foundation, in cooperation with the Frick Photoarchive.
Code and Tools
If you are interested in performing your own analysis on your data you can use all the tools that I’ve created to do so. All of them are made freely available as Open Source projects that anyone can use.
Detailed information about the projects, their purpose, and how to use them can be found on their respective Github pages.
- MatchEngine Data Analysis: Tools for analyzing the similarity data that comes from MatchEngine results.
- MatchEngine Tools: Tools for efficiently uploading and downloading data from TinEye’s MatchEngine service.
- PHAROS Images Database: Database used to power http://images.pharosartresearch.org/.