diff --git a/python/paddle/fluid/layers/detection.py b/python/paddle/fluid/layers/detection.py
index 28a4cfc911b83dbe624b0385beba1dbd5949322c..1d0dbce39c221a4430e6b5df4ba0a1f1a62cf296 100644
--- a/python/paddle/fluid/layers/detection.py
+++ b/python/paddle/fluid/layers/detection.py
@@ -2748,8 +2748,8 @@ def generate_proposals(scores,
             represents the differece between predicted box locatoin and
             anchor location. The data type must be float32.
         im_info(Variable): A 2-D Tensor with shape [N, 3] represents origin
-            image information for N batch. Info contains height, width and scale
-            between origin image size and the size of feature map.
+            image information for N batch. Height and width are the input sizes 
+            and scale is the ratio of network input size and original size. 
             The data type must be int32.
         anchors(Variable):   A 4-D Tensor represents the anchors with a layout
             of [H, W, A, 4]. H and W are height and width of the feature map,
@@ -2842,7 +2842,7 @@ def box_clip(input, im_info, name=None):
             the last dimension is 4 and data type is float32 or float64.
         im_info(Variable): The 2-D Tensor with shape [N, 3] with layout 
             (height, width, scale) represeting the information of image. 
-            height and width is the input size and scale is the ratio of input
+            Height and width are the input sizes and scale is the ratio of network input
             size and original size. The data type is float32 or float64.
         name(str, optional): For detailed information, please refer 
             to :ref:`api_guide_Name`. Usually name is no need to set and