Face Recognition
Use the Face Recognition action to detect human faces in an image, and retrieve the rectangle coordinates of their locations. Optionally, you can retrieve face IDs, face landmarks, and face attributes. The Azure Face API can recognize up to 64 faces in an image, and ranks faces by rectangle size, from large to small. For more information, see Azure Face.
The Face Recognition action supports images that meet the following requirements:
• JPEG, PNG, GIF (the first frame), or BMP format.
• File size is between 1 KB and 6 MB.
• Image size is between 36 x 36 pixels and 4096 x 4096 pixels.
To detect clear faces in smaller images, enlarge the input image.
Complete the following steps to use the Face Recognition action in your workflow:
1. Drag the Face Recognition action under Azure to the canvas, place the pointer on the action, and then click 
or double-click the action. The Face Recognition window opens.
or double-click the action. The Face Recognition window opens.2. Edit the Label, if needed. By default, the label name is the same as the action name.
3. To add an Azure connector type, refer to Supported Azure Connector Types.
If you previously added a connector type, select the appropriate Connector Type, and under Connector Name, select the connector.
4. Click TEST to validate the connector.
5. Click MAP CONNECTOR to execute the action using a connector that is different from the one that you are using to populate the input fields. In the Runtime Connector field, provide a valid Azure connector name. For more information about MAP CONNECTOR, see Using Map Connector.
If you selected Connector Type as None, the MAP CONNECTOR option is not available.
6. In the Resource Group list, select the appropriate resource group defined under your Azure subscription.
7. In the Face API Account list, select the Face API account defined in your resource group.
8. In the Provide Image by list, select one of the following options, and do the following:
◦ Select URL and in the Image URL field, specify a publicly accessible image URL.
◦ Select Upload File and in the Image File Path field, map the output of a previous action to provide the path to an image.
9. In the Should Face IDs be Returned list, select true if you want the service to return face IDs of the detected face; otherwise, select false.
10. In the Should Face Landmarks be Returned list, select true if you want the service to return landmarks of the selected face; otherwise, select false.
11. In the Face Attribute list, select the attribute that you want the service to analyze and return.
Click Add to add multiple face attributes. Click 
to delete any face attributes that you added.
to delete any face attributes that you added.12. Click Done.
Output schema
The Face Recognition action returns an array with face details such as face ID, face rectangle coordinates, and selected face landmarks.
