With ML Kit's face mesh detection API, you can generate in real-time a high accuracy mesh of 468 3D points for selfie-like images. Faces should be within ~2 meters (~7 feet) of the camera.
If you want to detect faces further than ~2 meters (~7 feet) away from the camera, please see ML Kit's face detection SDK.
Here are some of the terms used regarding the face mesh detection feature:
- The bounding box is a rectangular area for a detected face.
- Face mesh info is a group of 468 3D points and edges that can be used to draw the geometry mesh for a detected face.
The face mesh detection API generates a face mesh for detected faces, each containing 468 3D points and edges. With face mesh detection, you can perform more accurate operations on faces real-time, such as AR filters, selfie capture, and video chat.
Key capabilities
- Recognize and locate faces Get the bounding box for detected faces in a selfie-like picture.
- Get face mesh information Get the 468 3D points and triangle info for each detected face.
- Process video frames in real time Face mesh detection is performed on-device, and is fast enough for real-time applications, such as video manipulation.
Example results
Input | Output ("Bounding box only" mode) | Output ("Face mesh" mode) |
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Comparison with ML Kit face detection SDK
Face mesh detection API | Face Detection API | |
Use case recommended (examples) |
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Latency | Low (~14ms on Pixel 3)
Recommended for real-time |
Medium (~60ms on Pixel 3 when fast mode is ON) |
Recommended input | Faces captured within ~2 meters (~7 feet) | Any picture with faces |
Face points output | For each face, 468 3D points and triangle info when "face mesh" mode is enabled. | For each face, 133 2D points when "face contour" mode is enabled. |
# faces recognized |
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Tracking id | No | Yes |
Face orientation | No | Yes |
Face classification (e.g. smiling) | No | Yes |
Implementation options | Bundled only | Bundled / Unbundled |
App size | Bundled: ~6.4 MB
Unbundled: not available yet |
Bundled: ~6.9Mb
Unbundled: ~0.6Mb |