From Numbers to Names An AI facial Recognitions Platform that can Scan Photos from Prewar Europe and Holocaust Linking them to People Living Today #holocaust #photographs


Thank you for this wonderful information.  Here is a direct link to the program:
Barbara Sloan
Conway, SC

Jan Meisels Allen




Daniel Patt, a software engineer working for Google, created and developed From Numbers to Names (N2N), an artificial intelligence-driven facial recognition platform that can scan through photos from prewar Europe and the Holocaust, linking them to people living today.


This was a project with a personal stake for Patt as his four grandparents are Holocaust survivors from Poland, and he wants to help his grandmother find photos of the members of her family murdered by the Nazis. She was just 9 years old when the war started and fled from her hometown of Zamosc eastward with her father and siblings, while her mother — Patt’s great-grandmother — stayed behind. Her mother was shot and killed during the Nazi invasion, and Patt’s great-uncle — his grandmother’s brother — was subsequently killed when he went back to rescue her. The rest of the family survived and emigrated to New York City after the war.


Currently, N2N’s software — which is free and simple to use — only returns the 10 best potential matches that it can find in the database available to it. The software has been used to search through hundreds of thousands of photos to identify faces for the United States Holocaust Memorial Museum (USHMM) as well as individual survivors and descendants of survivors — including a number of celebrities. He is working to access 700,000 more photos from the pre-Holocaust and Holocaust eras.


The Times of Israel interviewed Patt for Holocaust Survivor day (a newly minted annual commemoration). That interview may be read at: They have analyzed 500,000 photos so far with 2 million faces and they have a backlog of potential identifications they are reviewing.


“For people coming to the site, they can click on “select an image.” They can then select a file from their computer or phone containing a cropped photo of a single face. Then they can click on the “search” button, which will show them 10 photos containing the most similar faces to the one provided by the user. The software works best when searching using photos that are roughly from the same time period (e.g., pre-1960s).’


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Jan Meisels Allen

Chairperson, IAJGS Public Records Access Monitoring Committee