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Facial Embedding - powered by Modzy MLOps platform for Enterprise and Edge AI

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.


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