Azure.AI.Vision.Face Namespace

Accessory item and corresponding confidence level.

Response body for adding face.

Model factory for models.

Audit entry for a response in the session.

Audit entry for a request in the session.

Client options for Azure.AI.Vision.Face library clients.

Properties describing any presence of blur within the image.

Request model for creating liveness session.

Response of liveness session creation.

Request for creating liveness with verify session.

Response of liveness session with verify creation with verify image provided.

Response of create person.

Properties describing exposure level of the image.

The FaceAdministration service client.

Face attributes for the detected face.

The Face service client.

Response for detect API.

Response body for find similar face operation.

Response body for group face operation.

Candidate for identify call.

Identify result.

A collection of 27-point face landmarks pointing to the important positions of face components.

A rectangle within which a face can be found.

The FaceSession service client.

Training result of a container.

Verify result.

Properties describing facial hair attributes.

An array of candidate colors and confidence level in the presence of each.

Properties describing hair attributes.

3-D roll/yaw/pitch angles for face direction.

Landmark coordinates within an image.

Large face list is a list of faces, up to 1,000,000 faces.

The LargeFaceList sub-client.

Face resource for large face list.

The container of the uploaded person data, including face recognition feature, and up to 1,000,000 people.

The LargePersonGroup sub-client.

The person in a specified large person group. To add face to this person, please call "Add Large Person Group Person Face".

Face resource for large person group person.

The liveness classification for target face.

The response body of detect liveness API call.

Session result of detect liveness.

Audit entry for a request in session.

Session data returned for enumeration.

The detail of face for verification.

The face verification output.

Session result of detect liveness with verify.

Properties describing the presence of a mask on a given face.

Properties describing noise level of the image.

Properties describing occlusions on a given face.

Type of the accessory.

Indicates level of blurriness.

Indicates level of exposure.

Available options for detect face with attribute.

Available attributes for detection01 model.

Available attributes for detection03 model.

Available attributes for recognition03 model.

Available attributes for recognition04 model.

The detection model for the face.

The type of image.

The outcome of the liveness classification.

The status of long running operation.

The recognition model for the face.

The current status of the session.

Similar face searching mode.

Glasses type of the face.

Name of the hair color.

The model version used for liveness classification.

The liveness operation mode to drive the client's end-user experience.

Type of the mask.

Indicates level of noise.

Indicates quality of image for recognition.

The version of the service to use.