rammurthym / datmo-face-recognition

Datmo Workflow for facial verification and recognition

Datmo CLI

Documentation

Face-Recognition

This repository comprises main tasks required to be done using facial recognition

1. Face Detection (detection)

• To find bounding box for faces.
• To find number of people in any image.
• Usage: Application can range like Facebook using this to find count of people and detect face to let users tag it.

2. Facial Landmark Detection (landmark_detection)

• To find the face feature locations (eyes, nose, etc) for each face in the image
• Usage: Application can lie to apply makeup application or is the founding basis to overlay structure as Snapchat does for lenses

3. Facial Verification (verification)

• Given an image of face, we can compare if any new image contains the same person.
• Usage: Widely used application eg. Uber uses to check if driver is the same person as registered on app

4. Facial Recognition (recognition/training)

• In a given number of classes does any new image of a face lie in one of the classes.

• Usage: Application lie to identify any celebrety and also used by Facebook to identify friends in moments or by Google in their Photos app.

  Built using dlib and face_recognition