• Clusters like-faces into buckets.
  • Tested up to ~38,000 different unique persons from a total of 300,000 files.
  • Based on our proprietary Face Recognition algorithm which uses a Convolutional Neural Network to derive 128 facial metrics to describe the unique characteristic of each face.
  • Runs totally locally on Mobile (Android, iOS), Desktop (Windows, Mac OSX) and also available as a Service online.