Facial Embedding

Model by Open Source

This model generates representative embeddings of the images of faces that are found in the provided image, using a deployment of an open source implementation of the FaceNet face recognizer developed by Google. The input is an RGB image with a single face in it. The output is a 512 dimensional representative vector.

This model can be used for clustering of images based on similarity, the identification of people in images across a number of poses and lighting conditions, or the recognition and tracking of people in video.


Many models are available for limited use in the free Modzy Basic account.