diff --git a/mindspore/dataset/transforms/vision/c_transforms.py b/mindspore/dataset/transforms/vision/c_transforms.py
index 1806d22446d..b46184fa16e 100644
--- a/mindspore/dataset/transforms/vision/c_transforms.py
+++ b/mindspore/dataset/transforms/vision/c_transforms.py
@@ -452,11 +452,11 @@ class Pad(cde.PadOp):
 
 class UniformAugment(cde.UniformAugOp):
     """
-    Tensor operation to perform randomly selected augmentation
+    Tensor operation to perform randomly selected augmentation.
 
     Args:
         operations: list of C++ operations (python OPs are not accepted).
-        NumOps (int): number of OPs to be selected and applied.
+        num_ops (int): number of OPs to be selected and applied.
 
     Examples:
         >>> transforms_list = [c_transforms.RandomHorizontalFlip(),
diff --git a/mindspore/dataset/transforms/vision/validators.py b/mindspore/dataset/transforms/vision/validators.py
index 63cb7683c15..631d478d438 100644
--- a/mindspore/dataset/transforms/vision/validators.py
+++ b/mindspore/dataset/transforms/vision/validators.py
@@ -23,6 +23,7 @@ from .utils import Inter, Border
 from ...transforms.validators import check_pos_int32, check_pos_float32, check_value, check_uint8, FLOAT_MAX_INTEGER, \
     check_bool, check_2tuple, check_range, check_list, check_type, check_positive, INT32_MAX
 
+
 def check_inter_mode(mode):
     if not isinstance(mode, Inter):
         raise ValueError("Invalid interpolation mode.")
@@ -838,7 +839,7 @@ def check_uniform_augmentation(method):
         if num_ops > len(operations):
             raise ValueError("num_ops is greater than operations list size")
         if not isinstance(operations, list):
-            raise ValueError("operations is not a python list")
+            raise TypeError("operations is not a python list")
         for op in operations:
             if not isinstance(op, TensorOp):
                 raise ValueError("operations list only accepts C++ operations.")