Face Detection
- 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.
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