"nodes": {
    "face_rec_azure1": {
        "type": "face_rec_azure",
        "rois": {
            "<roi_name>": {
                "recognized_faces": [{
                    "id": 1230171012121,
                    "person_id": "1239-12381-23110-1213",
                    "confidence": 0.4,
                    "user_data" : {},
                    "label": "person name"
                  }],
                  "unrecognized_face_ids": [120398123,12397231,21312],
                  "recognized_face_count": 3,
                  "recognized_face_delta": 2,
                  "unrecognized_face_count": 3,          
                  "unrecognized_face_delta": 1          
            }
        }
    }
}

"objects": [{
    "id": 5750484150146564100,
    "label": "face",
    "class_id": 0,
    "probability": 0.98,
    "rect": {
        "width": 47,
        "top": 201,
        "left": 656,
        "height": 25.
    },
    "attributes": [{
        "label": "person name",
        "class_id": 10200,
        "probability": 1.0,
    },
    {
        "label": "1230171012121",
        "class_id": 10201,
        "probability": 1.0,
    }]
}]

import glob, os, sys, time
from urllib.request import urlopen
from azure.cognitiveservices.vision.face import FaceClient
from azure.cognitiveservices.vision.face.models import TrainingStatusType, FaceAttributeType
from msrest.authentication import CognitiveServicesCredentials

ENDPOINT = "<YOUR_AZURE_FACEAPI_ENDPOINT>"
KEY = "<YOUR_AZURE_FACEAPI_KEY>"

# Name your person group. Must be lowercase, alphanumeric, or using dash or underscore.
# We use a uuid to avoid name collisions.
PERSON_GROUP_ID = "lumeo-demo"

# Create a client
face_client = FaceClient(ENDPOINT, CognitiveServicesCredentials(KEY))

# Create and train a person group and add a person group person to it.
def build_person_group(client, person_group_id, pgp_urls,create_group=True):
    print('Create and build a person group...')
    # Create empty Person Group. Person Group ID must be lower case, alphanumeric, and/or with '-', '_'.
    print('Person group ID:', person_group_id)
    if create_group:
        client.large_person_group.create(large_person_group_id = person_group_id, name=person_group_id, recognition_model= "recognition_04")

    for image_url in pgp_urls:
        try:
            pgp_name = image_url.split("/")[-1].split(".")[0]
            new_person = client.large_person_group_person.create(person_group_id, pgp_name)
            client.large_person_group_person.add_face_from_stream(person_group_id, new_person.person_id, urlopen(image_url),detection_model="detection_03")
        except Exception as e:
            print("Error downloading face image from url ({}) : {}".format(image_url,str(e)))

    # Train the person group, after a Person object with many images were added to it.
    client.large_person_group.train(person_group_id)

    # Wait for training to finish.
    while (True):
        training_status = client.large_person_group.get_training_status(person_group_id)
        print("Training status: {}.".format(training_status.status))
        if (training_status.status is TrainingStatusType.succeeded):
            break
        elif (training_status.status is TrainingStatusType.failed):
            client.large_person_group.delete(person_group_id=PERSON_GROUP_ID)
            sys.exit('Training the person group has failed.')
        time.sleep(5)

# Train a person group
person_face_image_urls = ['https://image1.jpg','https://image2.jpg']
build_person_group(face_client,PERSON_GROUP_ID,person_face_image_urls,True)

{
  "color":"00ffff",
  "aux_label":"FastPass Valid"
}

import glob, os, sys, time
from urllib.request import urlopen
from azure.cognitiveservices.vision.face import FaceClient
from azure.cognitiveservices.vision.face.models import TrainingStatusType, FaceAttributeType
from msrest.authentication import CognitiveServicesCredentials

ENDPOINT = "<YOUR_AZURE_FACEAPI_ENDPOINT>"
KEY = "<YOUR_AZURE_FACEAPI_KEY>"

# Assumes that a Large Person Group with this Person Group ID was already created.
PERSON_GROUP_ID = "lumeo-demo"

# Assumes that there is a person in this group with this person id.
PERSON_ID = "421cac29-2b6c-418a-af6c-79181daa92d4"

# Create a client
face_client = FaceClient(ENDPOINT, CognitiveServicesCredentials(KEY))

# Update Attrributes of the person with the Lumeo format attributes
face_client.large_person_group_person.update(
		PERSON_GROUP_ID,
    PERSON_ID,
    user_data='{"level":"fastpass","color":"00ffff","aux_label":"FastPass Valid"}')