Vision Faces Overview

The contents of this page are based on the original Firebase Documentation

With ML Kit's face detection API, you can detect faces in an image and identify key facial features.

With face detection, you can get the information you need to perform tasks like embellishing selfies and portraits, or generating avatars from a user's photo. Because ML Kit can perform face detection in real time, you can use it in applications like video chat or games that respond to the player's expressions.

This is a beta release of ML Kit for Firebase. This API might be changed in backward-incompatible ways and is not subject to any SLA or deprecation policy.

Key capabilities

Recognize and locate facial features	Get the coordinates of the eyes, ears, cheeks, nose, and mouth of every face detected.
Recognize facial expressions	Determine whether a person is smiling or has their eyes closed.
Track faces across video frames	Get an identifier for each individual person's face that is detected. This identifier is consistent across invocations, so you can, for example, perform image manipulation on a particular person in a video stream.
Process video frames in real time	Face detection is performed on the device, and is fast enough to be used in real-time applications, such as video manipulation.