High Quality Face Recognition with Deep Metric Learning

The new example comes with pictures of bald Hollywood action heroes and uses the provided deep metric model to identify how many different people there are and which faces belong to each person. The input images are shown below along with the four automatically identified face clusters.

Just like the other example dlib models, the pre-trained model used by this example program is in the public domain. So you can use it for anything you want. Also, the model has an accuracy of 99.38% on the standard Labeled Faces in the Wild benchmark. This is comparable to other state-of-the-art models and means that, given two face images, it correctly predicts if the images are of the same person 99.38% of the time.

Davis King, 2017

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