AI did most of the heavy lifting, condensing a mammoth 108,076 images into 6,362 unique, identifiable images that could be run through its decade-old facial recognition system.
This allowed 126 people to be identified on paper as potential terrorists who would still need to be tracked down by the international police organization.
This approach left 6,362 unique, high-quality images, which were then run through the Interpol Facial Recognition System (IFRS).
This is particularly handy, given that propaganda images often number in the thousands and investigators needed to sift through them manually to identify potential targets, many of which were duplicated by others involved in the same study.
Interpol does not say what agents it used, which models or vendors sit behind them, or where they ran.