facenet and Facial-Recognition-using-Facenet
The first is a simplified educational implementation built on top of the second's pre-trained FaceNet model and TensorFlow framework, making them ecosystem siblings where one serves as a foundational library for the other's demonstration.
About facenet
davidsandberg/facenet
Face recognition using Tensorflow
Implements the FaceNet architecture using triplet loss and softmax training to generate compact 128-dimensional face embeddings for recognition and clustering tasks. Uses Inception-ResNet-v1 backbone with MTCNN for face detection and alignment, and provides pre-trained models trained on CASIA-WebFace and VGGFace2 datasets achieving 99.65% LFW accuracy. Supports both training from scratch and inference with TensorFlow r1.7+, enabling deployment of face verification and identification pipelines.
About Facial-Recognition-using-Facenet
akshaybahadur21/Facial-Recognition-using-Facenet
A simple implementation of facial recognition using facenets for humans 🧔 🔍
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