Face Clustering

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.