How to Develop a Face Recognition System Using FaceNet in Keras. Brownlee, J. June, 2019. Library Catalog: machinelearningmastery.comPaper abstract bibtex Face recognition is a computer vision task of identifying and verifying a person based on a photograph of their face. FaceNet is a face recognition system developed in 2015 by researchers at Google that achieved then state-of-the-art results on a range of face recognition benchmark datasets. The FaceNet system can be used broadly thanks to […]
@misc{brownlee_how_2019,
title = {How to {Develop} a {Face} {Recognition} {System} {Using} {FaceNet} in {Keras}},
url = {https://machinelearningmastery.com/how-to-develop-a-face-recognition-system-using-facenet-in-keras-and-an-svm-classifier/},
abstract = {Face recognition is a computer vision task of identifying and verifying a person based on a photograph of their face. FaceNet is a face recognition system developed in 2015 by researchers at Google that achieved then state-of-the-art results on a range of face recognition benchmark datasets. The FaceNet system can be used broadly thanks to […]},
language = {en-US},
urldate = {2020-05-29},
journal = {Machine Learning Mastery},
author = {Brownlee, Jason},
month = jun,
year = {2019},
note = {Library Catalog: machinelearningmastery.com},
}
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