diff --git a/sdk/cognitiveservices/azure-cognitiveservices-vision-face/CHANGELOG.md b/sdk/cognitiveservices/azure-cognitiveservices-vision-face/CHANGELOG.md
index 8f7c18458b6d..fdde4b069607 100644
--- a/sdk/cognitiveservices/azure-cognitiveservices-vision-face/CHANGELOG.md
+++ b/sdk/cognitiveservices/azure-cognitiveservices-vision-face/CHANGELOG.md
@@ -1,6 +1,17 @@
 # Release History
 
-## 0.5.0 (2020-03-12)
+## 0.6.0 (2021-12-02)
+
+**Features**
+
+  - Add support for Face Recognition Quality Score.
+
+**Breaking changes**
+
+  - Various operations that previously accepted an optional name parameter
+    are now required.
+
+## 0.5.0 (2021-03-12)
 
 **Features**
 
diff --git a/sdk/cognitiveservices/azure-cognitiveservices-vision-face/azure/__init__.py b/sdk/cognitiveservices/azure-cognitiveservices-vision-face/azure/__init__.py
index 0260537a02bb..69e3be50dac4 100644
--- a/sdk/cognitiveservices/azure-cognitiveservices-vision-face/azure/__init__.py
+++ b/sdk/cognitiveservices/azure-cognitiveservices-vision-face/azure/__init__.py
@@ -1 +1 @@
-__path__ = __import__('pkgutil').extend_path(__path__, __name__)
\ No newline at end of file
+__path__ = __import__('pkgutil').extend_path(__path__, __name__)
diff --git a/sdk/cognitiveservices/azure-cognitiveservices-vision-face/azure/cognitiveservices/__init__.py b/sdk/cognitiveservices/azure-cognitiveservices-vision-face/azure/cognitiveservices/__init__.py
index 0260537a02bb..69e3be50dac4 100644
--- a/sdk/cognitiveservices/azure-cognitiveservices-vision-face/azure/cognitiveservices/__init__.py
+++ b/sdk/cognitiveservices/azure-cognitiveservices-vision-face/azure/cognitiveservices/__init__.py
@@ -1 +1 @@
-__path__ = __import__('pkgutil').extend_path(__path__, __name__)
\ No newline at end of file
+__path__ = __import__('pkgutil').extend_path(__path__, __name__)
diff --git a/sdk/cognitiveservices/azure-cognitiveservices-vision-face/azure/cognitiveservices/vision/__init__.py b/sdk/cognitiveservices/azure-cognitiveservices-vision-face/azure/cognitiveservices/vision/__init__.py
index 0260537a02bb..69e3be50dac4 100644
--- a/sdk/cognitiveservices/azure-cognitiveservices-vision-face/azure/cognitiveservices/vision/__init__.py
+++ b/sdk/cognitiveservices/azure-cognitiveservices-vision-face/azure/cognitiveservices/vision/__init__.py
@@ -1 +1 @@
-__path__ = __import__('pkgutil').extend_path(__path__, __name__)
\ No newline at end of file
+__path__ = __import__('pkgutil').extend_path(__path__, __name__)
diff --git a/sdk/cognitiveservices/azure-cognitiveservices-vision-face/azure/cognitiveservices/vision/face/_face_client.py b/sdk/cognitiveservices/azure-cognitiveservices-vision-face/azure/cognitiveservices/vision/face/_face_client.py
index 9851fabc3df8..3325cd82e506 100644
--- a/sdk/cognitiveservices/azure-cognitiveservices-vision-face/azure/cognitiveservices/vision/face/_face_client.py
+++ b/sdk/cognitiveservices/azure-cognitiveservices-vision-face/azure/cognitiveservices/vision/face/_face_client.py
@@ -64,7 +64,6 @@ def __init__(
         client_models = {k: v for k, v in models.__dict__.items() if isinstance(v, type)}
         self.api_version = '1.0'
         self._serialize = Serializer(client_models)
-        self._serialize.client_side_validation = False
         self._deserialize = Deserializer(client_models)
 
         self.face = FaceOperations(
diff --git a/sdk/cognitiveservices/azure-cognitiveservices-vision-face/azure/cognitiveservices/vision/face/models/__init__.py b/sdk/cognitiveservices/azure-cognitiveservices-vision-face/azure/cognitiveservices/vision/face/models/__init__.py
index 0bdbfd9bd9e4..ac2026362b45 100644
--- a/sdk/cognitiveservices/azure-cognitiveservices-vision-face/azure/cognitiveservices/vision/face/models/__init__.py
+++ b/sdk/cognitiveservices/azure-cognitiveservices-vision-face/azure/cognitiveservices/vision/face/models/__init__.py
@@ -114,6 +114,7 @@
     MaskType,
     NoiseLevel,
     OperationStatusType,
+    QualityForRecognition,
     RecognitionModel,
     SnapshotApplyMode,
     SnapshotObjectType,
@@ -175,6 +176,7 @@
     'ExposureLevel',
     'NoiseLevel',
     'MaskType',
+    'QualityForRecognition',
     'FindSimilarMatchMode',
     'TrainingStatusType',
     'SnapshotApplyMode',
diff --git a/sdk/cognitiveservices/azure-cognitiveservices-vision-face/azure/cognitiveservices/vision/face/models/_face_client_enums.py b/sdk/cognitiveservices/azure-cognitiveservices-vision-face/azure/cognitiveservices/vision/face/models/_face_client_enums.py
index 6c78c7d43830..a4e22cdcb640 100644
--- a/sdk/cognitiveservices/azure-cognitiveservices-vision-face/azure/cognitiveservices/vision/face/models/_face_client_enums.py
+++ b/sdk/cognitiveservices/azure-cognitiveservices-vision-face/azure/cognitiveservices/vision/face/models/_face_client_enums.py
@@ -82,6 +82,13 @@ class MaskType(str, Enum):
     uncertain = "uncertain"
 
 
+class QualityForRecognition(str, Enum):
+
+    low = "Low"
+    medium = "Medium"
+    high = "High"
+
+
 class FindSimilarMatchMode(str, Enum):
 
     match_person = "matchPerson"
@@ -134,6 +141,7 @@ class FaceAttributeType(str, Enum):
     exposure = "exposure"
     noise = "noise"
     mask = "mask"
+    quality_for_recognition = "qualityForRecognition"
 
 
 class DetectionModel(str, Enum):
diff --git a/sdk/cognitiveservices/azure-cognitiveservices-vision-face/azure/cognitiveservices/vision/face/models/_models.py b/sdk/cognitiveservices/azure-cognitiveservices-vision-face/azure/cognitiveservices/vision/face/models/_models.py
index 4f1d3b0ec20f..15d076c4bafa 100644
--- a/sdk/cognitiveservices/azure-cognitiveservices-vision-face/azure/cognitiveservices/vision/face/models/_models.py
+++ b/sdk/cognitiveservices/azure-cognitiveservices-vision-face/azure/cognitiveservices/vision/face/models/_models.py
@@ -52,7 +52,7 @@ def __init__(self, **kwargs):
 
 
 class APIErrorException(HttpOperationError):
-    """Server responded with exception of type: 'APIError'.
+    """Server responsed with exception of type: 'APIError'.
 
     :param deserialize: A deserializer
     :param response: Server response to be deserialized.
@@ -82,7 +82,7 @@ class ApplySnapshotRequest(Model):
     """
 
     _validation = {
-        'object_id': {'required': True},
+        'object_id': {'required': True, 'max_length': 64, 'pattern': r'^[a-z0-9-_]+$'},
     }
 
     _attribute_map = {
@@ -317,6 +317,12 @@ class FaceAttributes(Model):
     :type noise: ~azure.cognitiveservices.vision.face.models.Noise
     :param mask: Properties describing the presence of a mask on a given face.
     :type mask: ~azure.cognitiveservices.vision.face.models.Mask
+    :param quality_for_recognition: Properties describing the overall image
+     quality regarding whether the image being used in the detection is of
+     sufficient quality to attempt face recognition on. Possible values
+     include: 'Low', 'Medium', 'High'
+    :type quality_for_recognition: str or
+     ~azure.cognitiveservices.vision.face.models.QualityForRecognition
     """
 
     _attribute_map = {
@@ -335,6 +341,7 @@ class FaceAttributes(Model):
         'exposure': {'key': 'exposure', 'type': 'Exposure'},
         'noise': {'key': 'noise', 'type': 'Noise'},
         'mask': {'key': 'mask', 'type': 'Mask'},
+        'quality_for_recognition': {'key': 'qualityForRecognition', 'type': 'QualityForRecognition'},
     }
 
     def __init__(self, **kwargs):
@@ -354,6 +361,7 @@ def __init__(self, **kwargs):
         self.exposure = kwargs.get('exposure', None)
         self.noise = kwargs.get('noise', None)
         self.mask = kwargs.get('mask', None)
+        self.quality_for_recognition = kwargs.get('quality_for_recognition', None)
 
 
 class FaceLandmarks(Model):
@@ -498,32 +506,41 @@ def __init__(self, **kwargs):
         self.under_lip_bottom = kwargs.get('under_lip_bottom', None)
 
 
-class NameAndUserDataContract(Model):
+class NonNullableNameAndNullableUserDataContract(Model):
     """A combination of user defined name and user specified data for the person,
     largePersonGroup/personGroup, and largeFaceList/faceList.
 
-    :param name: User defined name, maximum length is 128.
+    All required parameters must be populated in order to send to Azure.
+
+    :param name: Required. User defined name, maximum length is 128.
     :type name: str
     :param user_data: User specified data. Length should not exceed 16KB.
     :type user_data: str
     """
 
+    _validation = {
+        'name': {'required': True, 'max_length': 128, 'min_length': 1},
+        'user_data': {'max_length': 16384},
+    }
+
     _attribute_map = {
         'name': {'key': 'name', 'type': 'str'},
         'user_data': {'key': 'userData', 'type': 'str'},
     }
 
     def __init__(self, **kwargs):
-        super(NameAndUserDataContract, self).__init__(**kwargs)
+        super(NonNullableNameAndNullableUserDataContract, self).__init__(**kwargs)
         self.name = kwargs.get('name', None)
         self.user_data = kwargs.get('user_data', None)
 
 
-class MetaDataContract(NameAndUserDataContract):
+class MetaDataContract(NonNullableNameAndNullableUserDataContract):
     """A combination of user defined name and user specified data and recognition
     model name for largePersonGroup/personGroup, and largeFaceList/faceList.
 
-    :param name: User defined name, maximum length is 128.
+    All required parameters must be populated in order to send to Azure.
+
+    :param name: Required. User defined name, maximum length is 128.
     :type name: str
     :param user_data: User specified data. Length should not exceed 16KB.
     :type user_data: str
@@ -534,6 +551,11 @@ class MetaDataContract(NameAndUserDataContract):
      ~azure.cognitiveservices.vision.face.models.RecognitionModel
     """
 
+    _validation = {
+        'name': {'required': True, 'max_length': 128, 'min_length': 1},
+        'user_data': {'max_length': 16384},
+    }
+
     _attribute_map = {
         'name': {'key': 'name', 'type': 'str'},
         'user_data': {'key': 'userData', 'type': 'str'},
@@ -550,7 +572,7 @@ class FaceList(MetaDataContract):
 
     All required parameters must be populated in order to send to Azure.
 
-    :param name: User defined name, maximum length is 128.
+    :param name: Required. User defined name, maximum length is 128.
     :type name: str
     :param user_data: User specified data. Length should not exceed 16KB.
     :type user_data: str
@@ -567,7 +589,9 @@ class FaceList(MetaDataContract):
     """
 
     _validation = {
-        'face_list_id': {'required': True},
+        'name': {'required': True, 'max_length': 128, 'min_length': 1},
+        'user_data': {'max_length': 16384},
+        'face_list_id': {'required': True, 'max_length': 64, 'pattern': r'^[a-z0-9-_]+$'},
     }
 
     _attribute_map = {
@@ -687,6 +711,9 @@ class FindSimilarRequest(Model):
 
     _validation = {
         'face_id': {'required': True},
+        'face_list_id': {'max_length': 64, 'pattern': r'^[a-z0-9-_]+$'},
+        'large_face_list_id': {'max_length': 64, 'pattern': r'^[a-z0-9-_]+$'},
+        'face_ids': {'max_items': 1000},
         'max_num_of_candidates_returned': {'maximum': 1000, 'minimum': 1},
     }
 
@@ -720,7 +747,7 @@ class GroupRequest(Model):
     """
 
     _validation = {
-        'face_ids': {'required': True},
+        'face_ids': {'required': True, 'max_items': 1000},
     }
 
     _attribute_map = {
@@ -882,7 +909,7 @@ class IdentifyRequest(Model):
      time.
     :type large_person_group_id: str
     :param max_num_of_candidates_returned: The range of
-     maxNumOfCandidatesReturned is between 1 and 5 (default is 1). Default
+     maxNumOfCandidatesReturned is between 1 and 100 (default is 1). Default
      value: 1 .
     :type max_num_of_candidates_returned: int
     :param confidence_threshold: Confidence threshold of identification, used
@@ -892,8 +919,10 @@ class IdentifyRequest(Model):
     """
 
     _validation = {
-        'face_ids': {'required': True},
-        'max_num_of_candidates_returned': {'maximum': 5, 'minimum': 1},
+        'face_ids': {'required': True, 'max_items': 10},
+        'person_group_id': {'max_length': 64, 'pattern': r'^[a-z0-9-_]+$'},
+        'large_person_group_id': {'max_length': 64, 'pattern': r'^[a-z0-9-_]+$'},
+        'max_num_of_candidates_returned': {'maximum': 100, 'minimum': 1},
     }
 
     _attribute_map = {
@@ -971,7 +1000,7 @@ class LargeFaceList(MetaDataContract):
 
     All required parameters must be populated in order to send to Azure.
 
-    :param name: User defined name, maximum length is 128.
+    :param name: Required. User defined name, maximum length is 128.
     :type name: str
     :param user_data: User specified data. Length should not exceed 16KB.
     :type user_data: str
@@ -986,7 +1015,9 @@ class LargeFaceList(MetaDataContract):
     """
 
     _validation = {
-        'large_face_list_id': {'required': True},
+        'name': {'required': True, 'max_length': 128, 'min_length': 1},
+        'user_data': {'max_length': 16384},
+        'large_face_list_id': {'required': True, 'max_length': 64, 'pattern': r'^[a-z0-9-_]+$'},
     }
 
     _attribute_map = {
@@ -1006,7 +1037,7 @@ class LargePersonGroup(MetaDataContract):
 
     All required parameters must be populated in order to send to Azure.
 
-    :param name: User defined name, maximum length is 128.
+    :param name: Required. User defined name, maximum length is 128.
     :type name: str
     :param user_data: User specified data. Length should not exceed 16KB.
     :type user_data: str
@@ -1021,7 +1052,9 @@ class LargePersonGroup(MetaDataContract):
     """
 
     _validation = {
-        'large_person_group_id': {'required': True},
+        'name': {'required': True, 'max_length': 128, 'min_length': 1},
+        'user_data': {'max_length': 16384},
+        'large_person_group_id': {'required': True, 'max_length': 64, 'pattern': r'^[a-z0-9-_]+$'},
     }
 
     _attribute_map = {
@@ -1080,6 +1113,32 @@ def __init__(self, **kwargs):
         self.nose_and_mouth_covered = kwargs.get('nose_and_mouth_covered', None)
 
 
+class NameAndUserDataContract(Model):
+    """A combination of user defined name and user specified data for the person,
+    largePersonGroup/personGroup, and largeFaceList/faceList.
+
+    :param name: User defined name, maximum length is 128.
+    :type name: str
+    :param user_data: User specified data. Length should not exceed 16KB.
+    :type user_data: str
+    """
+
+    _validation = {
+        'name': {'max_length': 128},
+        'user_data': {'max_length': 16384},
+    }
+
+    _attribute_map = {
+        'name': {'key': 'name', 'type': 'str'},
+        'user_data': {'key': 'userData', 'type': 'str'},
+    }
+
+    def __init__(self, **kwargs):
+        super(NameAndUserDataContract, self).__init__(**kwargs)
+        self.name = kwargs.get('name', None)
+        self.user_data = kwargs.get('user_data', None)
+
+
 class Noise(Model):
     """Properties describing noise level of the image.
 
@@ -1209,6 +1268,7 @@ class PersistedFace(Model):
 
     _validation = {
         'persisted_face_id': {'required': True},
+        'user_data': {'max_length': 1024},
     }
 
     _attribute_map = {
@@ -1240,6 +1300,8 @@ class Person(NameAndUserDataContract):
     """
 
     _validation = {
+        'name': {'max_length': 128},
+        'user_data': {'max_length': 16384},
         'person_id': {'required': True},
     }
 
@@ -1261,7 +1323,7 @@ class PersonGroup(MetaDataContract):
 
     All required parameters must be populated in order to send to Azure.
 
-    :param name: User defined name, maximum length is 128.
+    :param name: Required. User defined name, maximum length is 128.
     :type name: str
     :param user_data: User specified data. Length should not exceed 16KB.
     :type user_data: str
@@ -1276,7 +1338,9 @@ class PersonGroup(MetaDataContract):
     """
 
     _validation = {
-        'person_group_id': {'required': True},
+        'name': {'required': True, 'max_length': 128, 'min_length': 1},
+        'user_data': {'max_length': 16384},
+        'person_group_id': {'required': True, 'max_length': 64, 'pattern': r'^[a-z0-9-_]+$'},
     }
 
     _attribute_map = {
@@ -1366,6 +1430,7 @@ class Snapshot(Model):
         'account': {'required': True},
         'type': {'required': True},
         'apply_scope': {'required': True},
+        'user_data': {'max_length': 16384},
         'created_time': {'required': True},
         'last_update_time': {'required': True},
     }
@@ -1416,8 +1481,9 @@ class TakeSnapshotRequest(Model):
 
     _validation = {
         'type': {'required': True},
-        'object_id': {'required': True},
+        'object_id': {'required': True, 'max_length': 64, 'pattern': r'^[a-z0-9-_]+$'},
         'apply_scope': {'required': True},
+        'user_data': {'max_length': 16384},
     }
 
     _attribute_map = {
@@ -1498,6 +1564,10 @@ class UpdateFaceRequest(Model):
     :type user_data: str
     """
 
+    _validation = {
+        'user_data': {'max_length': 1024},
+    }
+
     _attribute_map = {
         'user_data': {'key': 'userData', 'type': 'str'},
     }
@@ -1521,6 +1591,10 @@ class UpdateSnapshotRequest(Model):
     :type user_data: str
     """
 
+    _validation = {
+        'user_data': {'max_length': 16384},
+    }
+
     _attribute_map = {
         'apply_scope': {'key': 'applyScope', 'type': '[str]'},
         'user_data': {'key': 'userData', 'type': 'str'},
@@ -1586,6 +1660,8 @@ class VerifyFaceToPersonRequest(Model):
 
     _validation = {
         'face_id': {'required': True},
+        'person_group_id': {'max_length': 64, 'pattern': r'^[a-z0-9-_]+$'},
+        'large_person_group_id': {'max_length': 64, 'pattern': r'^[a-z0-9-_]+$'},
         'person_id': {'required': True},
     }
 
diff --git a/sdk/cognitiveservices/azure-cognitiveservices-vision-face/azure/cognitiveservices/vision/face/models/_models_py3.py b/sdk/cognitiveservices/azure-cognitiveservices-vision-face/azure/cognitiveservices/vision/face/models/_models_py3.py
index e4cdcb10ce7f..d18b37fbdec4 100644
--- a/sdk/cognitiveservices/azure-cognitiveservices-vision-face/azure/cognitiveservices/vision/face/models/_models_py3.py
+++ b/sdk/cognitiveservices/azure-cognitiveservices-vision-face/azure/cognitiveservices/vision/face/models/_models_py3.py
@@ -52,7 +52,7 @@ def __init__(self, *, error=None, **kwargs) -> None:
 
 
 class APIErrorException(HttpOperationError):
-    """Server responded with exception of type: 'APIError'.
+    """Server responsed with exception of type: 'APIError'.
 
     :param deserialize: A deserializer
     :param response: Server response to be deserialized.
@@ -82,7 +82,7 @@ class ApplySnapshotRequest(Model):
     """
 
     _validation = {
-        'object_id': {'required': True},
+        'object_id': {'required': True, 'max_length': 64, 'pattern': r'^[a-z0-9-_]+$'},
     }
 
     _attribute_map = {
@@ -317,6 +317,12 @@ class FaceAttributes(Model):
     :type noise: ~azure.cognitiveservices.vision.face.models.Noise
     :param mask: Properties describing the presence of a mask on a given face.
     :type mask: ~azure.cognitiveservices.vision.face.models.Mask
+    :param quality_for_recognition: Properties describing the overall image
+     quality regarding whether the image being used in the detection is of
+     sufficient quality to attempt face recognition on. Possible values
+     include: 'Low', 'Medium', 'High'
+    :type quality_for_recognition: str or
+     ~azure.cognitiveservices.vision.face.models.QualityForRecognition
     """
 
     _attribute_map = {
@@ -335,9 +341,10 @@ class FaceAttributes(Model):
         'exposure': {'key': 'exposure', 'type': 'Exposure'},
         'noise': {'key': 'noise', 'type': 'Noise'},
         'mask': {'key': 'mask', 'type': 'Mask'},
+        'quality_for_recognition': {'key': 'qualityForRecognition', 'type': 'QualityForRecognition'},
     }
 
-    def __init__(self, *, age: float=None, gender=None, smile: float=None, facial_hair=None, glasses=None, head_pose=None, emotion=None, hair=None, makeup=None, occlusion=None, accessories=None, blur=None, exposure=None, noise=None, mask=None, **kwargs) -> None:
+    def __init__(self, *, age: float=None, gender=None, smile: float=None, facial_hair=None, glasses=None, head_pose=None, emotion=None, hair=None, makeup=None, occlusion=None, accessories=None, blur=None, exposure=None, noise=None, mask=None, quality_for_recognition=None, **kwargs) -> None:
         super(FaceAttributes, self).__init__(**kwargs)
         self.age = age
         self.gender = gender
@@ -354,6 +361,7 @@ def __init__(self, *, age: float=None, gender=None, smile: float=None, facial_ha
         self.exposure = exposure
         self.noise = noise
         self.mask = mask
+        self.quality_for_recognition = quality_for_recognition
 
 
 class FaceLandmarks(Model):
@@ -498,32 +506,41 @@ def __init__(self, *, pupil_left=None, pupil_right=None, nose_tip=None, mouth_le
         self.under_lip_bottom = under_lip_bottom
 
 
-class NameAndUserDataContract(Model):
+class NonNullableNameAndNullableUserDataContract(Model):
     """A combination of user defined name and user specified data for the person,
     largePersonGroup/personGroup, and largeFaceList/faceList.
 
-    :param name: User defined name, maximum length is 128.
+    All required parameters must be populated in order to send to Azure.
+
+    :param name: Required. User defined name, maximum length is 128.
     :type name: str
     :param user_data: User specified data. Length should not exceed 16KB.
     :type user_data: str
     """
 
+    _validation = {
+        'name': {'required': True, 'max_length': 128, 'min_length': 1},
+        'user_data': {'max_length': 16384},
+    }
+
     _attribute_map = {
         'name': {'key': 'name', 'type': 'str'},
         'user_data': {'key': 'userData', 'type': 'str'},
     }
 
-    def __init__(self, *, name: str=None, user_data: str=None, **kwargs) -> None:
-        super(NameAndUserDataContract, self).__init__(**kwargs)
+    def __init__(self, *, name: str, user_data: str=None, **kwargs) -> None:
+        super(NonNullableNameAndNullableUserDataContract, self).__init__(**kwargs)
         self.name = name
         self.user_data = user_data
 
 
-class MetaDataContract(NameAndUserDataContract):
+class MetaDataContract(NonNullableNameAndNullableUserDataContract):
     """A combination of user defined name and user specified data and recognition
     model name for largePersonGroup/personGroup, and largeFaceList/faceList.
 
-    :param name: User defined name, maximum length is 128.
+    All required parameters must be populated in order to send to Azure.
+
+    :param name: Required. User defined name, maximum length is 128.
     :type name: str
     :param user_data: User specified data. Length should not exceed 16KB.
     :type user_data: str
@@ -534,13 +551,18 @@ class MetaDataContract(NameAndUserDataContract):
      ~azure.cognitiveservices.vision.face.models.RecognitionModel
     """
 
+    _validation = {
+        'name': {'required': True, 'max_length': 128, 'min_length': 1},
+        'user_data': {'max_length': 16384},
+    }
+
     _attribute_map = {
         'name': {'key': 'name', 'type': 'str'},
         'user_data': {'key': 'userData', 'type': 'str'},
         'recognition_model': {'key': 'recognitionModel', 'type': 'str'},
     }
 
-    def __init__(self, *, name: str=None, user_data: str=None, recognition_model="recognition_01", **kwargs) -> None:
+    def __init__(self, *, name: str, user_data: str=None, recognition_model="recognition_01", **kwargs) -> None:
         super(MetaDataContract, self).__init__(name=name, user_data=user_data, **kwargs)
         self.recognition_model = recognition_model
 
@@ -550,7 +572,7 @@ class FaceList(MetaDataContract):
 
     All required parameters must be populated in order to send to Azure.
 
-    :param name: User defined name, maximum length is 128.
+    :param name: Required. User defined name, maximum length is 128.
     :type name: str
     :param user_data: User specified data. Length should not exceed 16KB.
     :type user_data: str
@@ -567,7 +589,9 @@ class FaceList(MetaDataContract):
     """
 
     _validation = {
-        'face_list_id': {'required': True},
+        'name': {'required': True, 'max_length': 128, 'min_length': 1},
+        'user_data': {'max_length': 16384},
+        'face_list_id': {'required': True, 'max_length': 64, 'pattern': r'^[a-z0-9-_]+$'},
     }
 
     _attribute_map = {
@@ -578,7 +602,7 @@ class FaceList(MetaDataContract):
         'persisted_faces': {'key': 'persistedFaces', 'type': '[PersistedFace]'},
     }
 
-    def __init__(self, *, face_list_id: str, name: str=None, user_data: str=None, recognition_model="recognition_01", persisted_faces=None, **kwargs) -> None:
+    def __init__(self, *, name: str, face_list_id: str, user_data: str=None, recognition_model="recognition_01", persisted_faces=None, **kwargs) -> None:
         super(FaceList, self).__init__(name=name, user_data=user_data, recognition_model=recognition_model, **kwargs)
         self.face_list_id = face_list_id
         self.persisted_faces = persisted_faces
@@ -687,6 +711,9 @@ class FindSimilarRequest(Model):
 
     _validation = {
         'face_id': {'required': True},
+        'face_list_id': {'max_length': 64, 'pattern': r'^[a-z0-9-_]+$'},
+        'large_face_list_id': {'max_length': 64, 'pattern': r'^[a-z0-9-_]+$'},
+        'face_ids': {'max_items': 1000},
         'max_num_of_candidates_returned': {'maximum': 1000, 'minimum': 1},
     }
 
@@ -720,7 +747,7 @@ class GroupRequest(Model):
     """
 
     _validation = {
-        'face_ids': {'required': True},
+        'face_ids': {'required': True, 'max_items': 1000},
     }
 
     _attribute_map = {
@@ -882,7 +909,7 @@ class IdentifyRequest(Model):
      time.
     :type large_person_group_id: str
     :param max_num_of_candidates_returned: The range of
-     maxNumOfCandidatesReturned is between 1 and 5 (default is 1). Default
+     maxNumOfCandidatesReturned is between 1 and 100 (default is 1). Default
      value: 1 .
     :type max_num_of_candidates_returned: int
     :param confidence_threshold: Confidence threshold of identification, used
@@ -892,8 +919,10 @@ class IdentifyRequest(Model):
     """
 
     _validation = {
-        'face_ids': {'required': True},
-        'max_num_of_candidates_returned': {'maximum': 5, 'minimum': 1},
+        'face_ids': {'required': True, 'max_items': 10},
+        'person_group_id': {'max_length': 64, 'pattern': r'^[a-z0-9-_]+$'},
+        'large_person_group_id': {'max_length': 64, 'pattern': r'^[a-z0-9-_]+$'},
+        'max_num_of_candidates_returned': {'maximum': 100, 'minimum': 1},
     }
 
     _attribute_map = {
@@ -971,7 +1000,7 @@ class LargeFaceList(MetaDataContract):
 
     All required parameters must be populated in order to send to Azure.
 
-    :param name: User defined name, maximum length is 128.
+    :param name: Required. User defined name, maximum length is 128.
     :type name: str
     :param user_data: User specified data. Length should not exceed 16KB.
     :type user_data: str
@@ -986,7 +1015,9 @@ class LargeFaceList(MetaDataContract):
     """
 
     _validation = {
-        'large_face_list_id': {'required': True},
+        'name': {'required': True, 'max_length': 128, 'min_length': 1},
+        'user_data': {'max_length': 16384},
+        'large_face_list_id': {'required': True, 'max_length': 64, 'pattern': r'^[a-z0-9-_]+$'},
     }
 
     _attribute_map = {
@@ -996,7 +1027,7 @@ class LargeFaceList(MetaDataContract):
         'large_face_list_id': {'key': 'largeFaceListId', 'type': 'str'},
     }
 
-    def __init__(self, *, large_face_list_id: str, name: str=None, user_data: str=None, recognition_model="recognition_01", **kwargs) -> None:
+    def __init__(self, *, name: str, large_face_list_id: str, user_data: str=None, recognition_model="recognition_01", **kwargs) -> None:
         super(LargeFaceList, self).__init__(name=name, user_data=user_data, recognition_model=recognition_model, **kwargs)
         self.large_face_list_id = large_face_list_id
 
@@ -1006,7 +1037,7 @@ class LargePersonGroup(MetaDataContract):
 
     All required parameters must be populated in order to send to Azure.
 
-    :param name: User defined name, maximum length is 128.
+    :param name: Required. User defined name, maximum length is 128.
     :type name: str
     :param user_data: User specified data. Length should not exceed 16KB.
     :type user_data: str
@@ -1021,7 +1052,9 @@ class LargePersonGroup(MetaDataContract):
     """
 
     _validation = {
-        'large_person_group_id': {'required': True},
+        'name': {'required': True, 'max_length': 128, 'min_length': 1},
+        'user_data': {'max_length': 16384},
+        'large_person_group_id': {'required': True, 'max_length': 64, 'pattern': r'^[a-z0-9-_]+$'},
     }
 
     _attribute_map = {
@@ -1031,7 +1064,7 @@ class LargePersonGroup(MetaDataContract):
         'large_person_group_id': {'key': 'largePersonGroupId', 'type': 'str'},
     }
 
-    def __init__(self, *, large_person_group_id: str, name: str=None, user_data: str=None, recognition_model="recognition_01", **kwargs) -> None:
+    def __init__(self, *, name: str, large_person_group_id: str, user_data: str=None, recognition_model="recognition_01", **kwargs) -> None:
         super(LargePersonGroup, self).__init__(name=name, user_data=user_data, recognition_model=recognition_model, **kwargs)
         self.large_person_group_id = large_person_group_id
 
@@ -1080,6 +1113,32 @@ def __init__(self, *, type=None, nose_and_mouth_covered: bool=None, **kwargs) ->
         self.nose_and_mouth_covered = nose_and_mouth_covered
 
 
+class NameAndUserDataContract(Model):
+    """A combination of user defined name and user specified data for the person,
+    largePersonGroup/personGroup, and largeFaceList/faceList.
+
+    :param name: User defined name, maximum length is 128.
+    :type name: str
+    :param user_data: User specified data. Length should not exceed 16KB.
+    :type user_data: str
+    """
+
+    _validation = {
+        'name': {'max_length': 128},
+        'user_data': {'max_length': 16384},
+    }
+
+    _attribute_map = {
+        'name': {'key': 'name', 'type': 'str'},
+        'user_data': {'key': 'userData', 'type': 'str'},
+    }
+
+    def __init__(self, *, name: str=None, user_data: str=None, **kwargs) -> None:
+        super(NameAndUserDataContract, self).__init__(**kwargs)
+        self.name = name
+        self.user_data = user_data
+
+
 class Noise(Model):
     """Properties describing noise level of the image.
 
@@ -1209,6 +1268,7 @@ class PersistedFace(Model):
 
     _validation = {
         'persisted_face_id': {'required': True},
+        'user_data': {'max_length': 1024},
     }
 
     _attribute_map = {
@@ -1240,6 +1300,8 @@ class Person(NameAndUserDataContract):
     """
 
     _validation = {
+        'name': {'max_length': 128},
+        'user_data': {'max_length': 16384},
         'person_id': {'required': True},
     }
 
@@ -1261,7 +1323,7 @@ class PersonGroup(MetaDataContract):
 
     All required parameters must be populated in order to send to Azure.
 
-    :param name: User defined name, maximum length is 128.
+    :param name: Required. User defined name, maximum length is 128.
     :type name: str
     :param user_data: User specified data. Length should not exceed 16KB.
     :type user_data: str
@@ -1276,7 +1338,9 @@ class PersonGroup(MetaDataContract):
     """
 
     _validation = {
-        'person_group_id': {'required': True},
+        'name': {'required': True, 'max_length': 128, 'min_length': 1},
+        'user_data': {'max_length': 16384},
+        'person_group_id': {'required': True, 'max_length': 64, 'pattern': r'^[a-z0-9-_]+$'},
     }
 
     _attribute_map = {
@@ -1286,7 +1350,7 @@ class PersonGroup(MetaDataContract):
         'person_group_id': {'key': 'personGroupId', 'type': 'str'},
     }
 
-    def __init__(self, *, person_group_id: str, name: str=None, user_data: str=None, recognition_model="recognition_01", **kwargs) -> None:
+    def __init__(self, *, name: str, person_group_id: str, user_data: str=None, recognition_model="recognition_01", **kwargs) -> None:
         super(PersonGroup, self).__init__(name=name, user_data=user_data, recognition_model=recognition_model, **kwargs)
         self.person_group_id = person_group_id
 
@@ -1366,6 +1430,7 @@ class Snapshot(Model):
         'account': {'required': True},
         'type': {'required': True},
         'apply_scope': {'required': True},
+        'user_data': {'max_length': 16384},
         'created_time': {'required': True},
         'last_update_time': {'required': True},
     }
@@ -1416,8 +1481,9 @@ class TakeSnapshotRequest(Model):
 
     _validation = {
         'type': {'required': True},
-        'object_id': {'required': True},
+        'object_id': {'required': True, 'max_length': 64, 'pattern': r'^[a-z0-9-_]+$'},
         'apply_scope': {'required': True},
+        'user_data': {'max_length': 16384},
     }
 
     _attribute_map = {
@@ -1498,6 +1564,10 @@ class UpdateFaceRequest(Model):
     :type user_data: str
     """
 
+    _validation = {
+        'user_data': {'max_length': 1024},
+    }
+
     _attribute_map = {
         'user_data': {'key': 'userData', 'type': 'str'},
     }
@@ -1521,6 +1591,10 @@ class UpdateSnapshotRequest(Model):
     :type user_data: str
     """
 
+    _validation = {
+        'user_data': {'max_length': 16384},
+    }
+
     _attribute_map = {
         'apply_scope': {'key': 'applyScope', 'type': '[str]'},
         'user_data': {'key': 'userData', 'type': 'str'},
@@ -1586,6 +1660,8 @@ class VerifyFaceToPersonRequest(Model):
 
     _validation = {
         'face_id': {'required': True},
+        'person_group_id': {'max_length': 64, 'pattern': r'^[a-z0-9-_]+$'},
+        'large_person_group_id': {'max_length': 64, 'pattern': r'^[a-z0-9-_]+$'},
         'person_id': {'required': True},
     }
 
diff --git a/sdk/cognitiveservices/azure-cognitiveservices-vision-face/azure/cognitiveservices/vision/face/operations/_face_list_operations.py b/sdk/cognitiveservices/azure-cognitiveservices-vision-face/azure/cognitiveservices/vision/face/operations/_face_list_operations.py
index 0d6e7db263ed..81ea454e9a5a 100644
--- a/sdk/cognitiveservices/azure-cognitiveservices-vision-face/azure/cognitiveservices/vision/face/operations/_face_list_operations.py
+++ b/sdk/cognitiveservices/azure-cognitiveservices-vision-face/azure/cognitiveservices/vision/face/operations/_face_list_operations.py
@@ -36,7 +36,7 @@ def __init__(self, client, config, serializer, deserializer):
         self.config = config
 
     def create(
-            self, face_list_id, name=None, user_data=None, recognition_model="recognition_01", custom_headers=None, raw=False, **operation_config):
+            self, face_list_id, name, user_data=None, recognition_model="recognition_01", custom_headers=None, raw=False, **operation_config):
         """Create an empty face list with user-specified faceListId, name, an
         optional userData and recognitionModel. Up to 64 face lists are allowed
         in one subscription.
diff --git a/sdk/cognitiveservices/azure-cognitiveservices-vision-face/azure/cognitiveservices/vision/face/operations/_face_operations.py b/sdk/cognitiveservices/azure-cognitiveservices-vision-face/azure/cognitiveservices/vision/face/operations/_face_operations.py
index 41bf8d917e00..88e0e1b689af 100644
--- a/sdk/cognitiveservices/azure-cognitiveservices-vision-face/azure/cognitiveservices/vision/face/operations/_face_operations.py
+++ b/sdk/cognitiveservices/azure-cognitiveservices-vision-face/azure/cognitiveservices/vision/face/operations/_face_operations.py
@@ -268,7 +268,7 @@ def identify(
          same time.
         :type large_person_group_id: str
         :param max_num_of_candidates_returned: The range of
-         maxNumOfCandidatesReturned is between 1 and 5 (default is 1).
+         maxNumOfCandidatesReturned is between 1 and 100 (default is 1).
         :type max_num_of_candidates_returned: int
         :param confidence_threshold: Confidence threshold of identification,
          used to judge whether one face belong to one person. The range of
@@ -414,8 +414,8 @@ def detect_with_url(
         * Optional parameters include faceId, landmarks, and attributes.
         Attributes include age, gender, headPose, smile, facialHair, glasses,
         emotion, hair, makeup, occlusion, accessories, blur, exposure, noise,
-        and mask. Some of the results returned for specific attributes may not
-        be highly accurate.
+        mask, and qualityForRecognition. Some of the results returned for
+        specific attributes may not be highly accurate.
         * JPEG, PNG, GIF (the first frame), and BMP format are supported. The
         allowed image file size is from 1KB to 6MB.
         * Up to 100 faces can be returned for an image. Faces are ranked by
@@ -457,10 +457,13 @@ def detect_with_url(
          "returnFaceAttributes=age,gender". The available attributes depends on
          the 'detectionModel' specified. 'detection_01' supports age, gender,
          headPose, smile, facialHair, glasses, emotion, hair, makeup,
-         occlusion, accessories, blur, exposure, and noise. While
-         'detection_02' does not support any attributes and 'detection_03' only
-         supports mask. Note that each face attribute analysis has additional
-         computational and time cost.
+         occlusion, accessories, blur, exposure, noise, and
+         qualityForRecognition. While 'detection_02' does not support any
+         attributes and 'detection_03' only supports mask and
+         qualityForRecognition. Additionally, qualityForRecognition is only
+         supported when the 'recognitionModel' is specified as 'recognition_03'
+         or 'recognition_04'. Note that each face attribute analysis has
+         additional computational and time cost.
         :type return_face_attributes: list[str or
          ~azure.cognitiveservices.vision.face.models.FaceAttributeType]
         :param recognition_model: Name of recognition model. Recognition model
@@ -643,8 +646,8 @@ def detect_with_stream(
         * Optional parameters include faceId, landmarks, and attributes.
         Attributes include age, gender, headPose, smile, facialHair, glasses,
         emotion, hair, makeup, occlusion, accessories, blur, exposure, noise,
-        and mask. Some of the results returned for specific attributes may not
-        be highly accurate.
+        mask, and qualityForRecognition. Some of the results returned for
+        specific attributes may not be highly accurate.
         * JPEG, PNG, GIF (the first frame), and BMP format are supported. The
         allowed image file size is from 1KB to 6MB.
         * Up to 100 faces can be returned for an image. Faces are ranked by
@@ -686,10 +689,13 @@ def detect_with_stream(
          "returnFaceAttributes=age,gender". The available attributes depends on
          the 'detectionModel' specified. 'detection_01' supports age, gender,
          headPose, smile, facialHair, glasses, emotion, hair, makeup,
-         occlusion, accessories, blur, exposure, and noise. While
-         'detection_02' does not support any attributes and 'detection_03' only
-         supports mask. Note that each face attribute analysis has additional
-         computational and time cost.
+         occlusion, accessories, blur, exposure, noise, and
+         qualityForRecognition. While 'detection_02' does not support any
+         attributes and 'detection_03' only supports mask and
+         qualityForRecognition. Additionally, qualityForRecognition is only
+         supported when the 'recognitionModel' is specified as 'recognition_03'
+         or 'recognition_04'. Note that each face attribute analysis has
+         additional computational and time cost.
         :type return_face_attributes: list[str or
          ~azure.cognitiveservices.vision.face.models.FaceAttributeType]
         :param recognition_model: Name of recognition model. Recognition model
diff --git a/sdk/cognitiveservices/azure-cognitiveservices-vision-face/azure/cognitiveservices/vision/face/operations/_large_face_list_operations.py b/sdk/cognitiveservices/azure-cognitiveservices-vision-face/azure/cognitiveservices/vision/face/operations/_large_face_list_operations.py
index 6342b5b1f709..c00088babc68 100644
--- a/sdk/cognitiveservices/azure-cognitiveservices-vision-face/azure/cognitiveservices/vision/face/operations/_large_face_list_operations.py
+++ b/sdk/cognitiveservices/azure-cognitiveservices-vision-face/azure/cognitiveservices/vision/face/operations/_large_face_list_operations.py
@@ -36,7 +36,7 @@ def __init__(self, client, config, serializer, deserializer):
         self.config = config
 
     def create(
-            self, large_face_list_id, name=None, user_data=None, recognition_model="recognition_01", custom_headers=None, raw=False, **operation_config):
+            self, large_face_list_id, name, user_data=None, recognition_model="recognition_01", custom_headers=None, raw=False, **operation_config):
         """Create an empty large face list with user-specified largeFaceListId,
         name, an optional userData and recognitionModel.
         <br /> Large face list is a list of faces, up to 1,000,000 faces, and
@@ -342,7 +342,7 @@ def get_training_status(
     get_training_status.metadata = {'url': '/largefacelists/{largeFaceListId}/training'}
 
     def list(
-            self, return_recognition_model=False, custom_headers=None, raw=False, **operation_config):
+            self, return_recognition_model=False, start=None, top=None, custom_headers=None, raw=False, **operation_config):
         """List large face lists’ information of largeFaceListId, name, userData
         and recognitionModel. <br />
         To get face information inside largeFaceList use [LargeFaceList Face -
@@ -367,6 +367,12 @@ def list(
         :param return_recognition_model: A value indicating whether the
          operation should return 'recognitionModel' in response.
         :type return_recognition_model: bool
+        :param start: Starting large face list id to return (used to list a
+         range of large face lists).
+        :type start: str
+        :param top: Number of large face lists to return starting with the
+         large face list id indicated by the 'start' parameter.
+        :type top: int
         :param dict custom_headers: headers that will be added to the request
         :param bool raw: returns the direct response alongside the
          deserialized response
@@ -390,6 +396,10 @@ def list(
         query_parameters = {}
         if return_recognition_model is not None:
             query_parameters['returnRecognitionModel'] = self._serialize.query("return_recognition_model", return_recognition_model, 'bool')
+        if start is not None:
+            query_parameters['start'] = self._serialize.query("start", start, 'str')
+        if top is not None:
+            query_parameters['top'] = self._serialize.query("top", top, 'int', maximum=1000, minimum=1)
 
         # Construct headers
         header_parameters = {}
diff --git a/sdk/cognitiveservices/azure-cognitiveservices-vision-face/azure/cognitiveservices/vision/face/operations/_large_person_group_operations.py b/sdk/cognitiveservices/azure-cognitiveservices-vision-face/azure/cognitiveservices/vision/face/operations/_large_person_group_operations.py
index e1c5a238ae9d..cde188815a7d 100644
--- a/sdk/cognitiveservices/azure-cognitiveservices-vision-face/azure/cognitiveservices/vision/face/operations/_large_person_group_operations.py
+++ b/sdk/cognitiveservices/azure-cognitiveservices-vision-face/azure/cognitiveservices/vision/face/operations/_large_person_group_operations.py
@@ -36,7 +36,7 @@ def __init__(self, client, config, serializer, deserializer):
         self.config = config
 
     def create(
-            self, large_person_group_id, name=None, user_data=None, recognition_model="recognition_01", custom_headers=None, raw=False, **operation_config):
+            self, large_person_group_id, name, user_data=None, recognition_model="recognition_01", custom_headers=None, raw=False, **operation_config):
         """Create a new large person group with user-specified largePersonGroupId,
         name, an optional userData and recognitionModel.
         <br /> A large person group is the container of the uploaded person
diff --git a/sdk/cognitiveservices/azure-cognitiveservices-vision-face/azure/cognitiveservices/vision/face/operations/_person_group_operations.py b/sdk/cognitiveservices/azure-cognitiveservices-vision-face/azure/cognitiveservices/vision/face/operations/_person_group_operations.py
index 1c911d27dea8..b17aaa35f0c9 100644
--- a/sdk/cognitiveservices/azure-cognitiveservices-vision-face/azure/cognitiveservices/vision/face/operations/_person_group_operations.py
+++ b/sdk/cognitiveservices/azure-cognitiveservices-vision-face/azure/cognitiveservices/vision/face/operations/_person_group_operations.py
@@ -36,7 +36,7 @@ def __init__(self, client, config, serializer, deserializer):
         self.config = config
 
     def create(
-            self, person_group_id, name=None, user_data=None, recognition_model="recognition_01", custom_headers=None, raw=False, **operation_config):
+            self, person_group_id, name, user_data=None, recognition_model="recognition_01", custom_headers=None, raw=False, **operation_config):
         """Create a new person group with specified personGroupId, name,
         user-provided userData and recognitionModel.
         <br /> A person group is the container of the uploaded person data,
diff --git a/sdk/cognitiveservices/azure-cognitiveservices-vision-face/azure/cognitiveservices/vision/face/version.py b/sdk/cognitiveservices/azure-cognitiveservices-vision-face/azure/cognitiveservices/vision/face/version.py
index 266f5a486d79..901c89378794 100644
--- a/sdk/cognitiveservices/azure-cognitiveservices-vision-face/azure/cognitiveservices/vision/face/version.py
+++ b/sdk/cognitiveservices/azure-cognitiveservices-vision-face/azure/cognitiveservices/vision/face/version.py
@@ -9,5 +9,4 @@
 # regenerated.
 # --------------------------------------------------------------------------
 
-VERSION = "0.5.0"
-
+VERSION = "0.6.0"