Integrate to your apps to search,
compare, and identify within minutes
State of the art algorithm without all the headaches
Deep Learning models work by turning digital signals into numerically represented features. These are called a face embedding.
A Face Embedding represents a person's face in numerical, and will allow you to do mathematical operations on it. For example, this allows developers to find similar faces by comparing the distances between different embeddings.
Automatically detect faces in the database. Then given a query image, our API will return images of the queried person.