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What is Accuracy of Embedding Models Comparison about?

This document compares the accuracy of different machine learning models for face recognition and embedding using datasets from FaceNet and OpenFace. It shows the average accuracy rates for different support vector machine, k-nearest neighbor, decision tree, gaussian mixture and other classifiers over 1000 trials.

Author

Dummy Coursera

Language

EN