diff --git a/cognitive_face/face.py b/cognitive_face/face.py
index 1860cf2..4d4e9ae 100644
--- a/cognitive_face/face.py
+++ b/cognitive_face/face.py
@@ -7,7 +7,7 @@
 from . import util
 
 
-def detect(image, face_id=True, landmarks=False, attributes=''):
+def detect(image, face_id=True, landmarks=False, attributes='', recognition_model=2):
     """Detect human faces in an image and returns face locations, and
     optionally with `face_id`s, landmarks, and attributes.
 
@@ -23,6 +23,9 @@ def detect(image, face_id=True, landmarks=False, attributes=''):
             headPose, smile, facialHair, glasses, emotion, makeup, accessories,
             occlusion, blur, exposure, noise. Note that each face attribute
             analysis has additional computational and time cost.
+        recognition_model: [Optional] Choose which model to use. At this moment
+            there are two possibilites: 1 (the original model) or 2 (the updated
+            model). Both should be input as an integer. 
 
     Returns:
         An array of face entries ranked by face rectangle size in descending
@@ -35,6 +38,8 @@ def detect(image, face_id=True, landmarks=False, attributes=''):
         'returnFaceId': face_id and 'true' or 'false',
         'returnFaceLandmarks': landmarks and 'true' or 'false',
         'returnFaceAttributes': attributes,
+        'recognitionModel': "recognition_0"+str(recognition_model),
+        'returnRecognitionModel': 'true'
     }
 
     return util.request(
diff --git a/cognitive_face/person_group.py b/cognitive_face/person_group.py
index 22f03d3..a2b7c5b 100644
--- a/cognitive_face/person_group.py
+++ b/cognitive_face/person_group.py
@@ -7,7 +7,7 @@
 from . import util
 
 
-def create(person_group_id, name=None, user_data=None):
+def create(person_group_id, name=None, user_data=None, recognition_model=2):
     """Create a new person group with specified `person_group_id`, `name` and
     user-provided `user_data`.
 
@@ -18,6 +18,9 @@ def create(person_group_id, name=None, user_data=None):
         name: Person group display name. The maximum length is 128.
         user_data: User-provided data attached to the person group. The size
             limit is 16KB.
+        recognition_model: [Optional] Choose which model to use. At this moment
+            there are two possibilites: 1 (the original model) or 2 (the updated
+            model). Both should be input as an integer. 
 
     Returns:
         An empty response body.
@@ -27,9 +30,13 @@ def create(person_group_id, name=None, user_data=None):
     json = {
         'name': name,
         'userData': user_data,
+        'recognitionModel': "recognition_0"+str(recognition_model)
+    }
+    params = {
+        'returnRecognitionModel': 'true'
     }
 
-    return util.request('PUT', url, json=json)
+    return util.request('PUT', url, json=json, params=params)
 
 
 def delete(person_group_id):
@@ -61,8 +68,11 @@ def get(person_group_id):
         The person group's information.
     """
     url = 'persongroups/{}'.format(person_group_id)
+    params = {
+        'returnRecognitionModel': 'true'    
+    }
 
-    return util.request('GET', url)
+    return util.request('GET', url, params=params)
 
 
 def get_status(person_group_id):