diff --git a/docs/templates/preprocessing/image.md b/docs/templates/preprocessing/image.md
index 791deb32b..1805b7472 100644
--- a/docs/templates/preprocessing/image.md
+++ b/docs/templates/preprocessing/image.md
@@ -12,7 +12,8 @@ keras.preprocessing.image.ImageDataGenerator(featurewise_center=True,
     height_shift_range=0.,
     shear_range=0.,
     horizontal_flip=False,
-    vertical_flip=False)
+    vertical_flip=False,
+    dim_ordering='th')
 ```
 
 Generate batches of tensor image data with real-time data augmentation. The data will be looped over (in batches) indefinitely.
@@ -29,6 +30,9 @@ Generate batches of tensor image data with real-time data augmentation. The data
     - __shear_range__: Float. Shear Intensity (Shear angle in counter-clockwise direction as radians)
     - __horizontal_flip__: Boolean. Randomly flip inputs horizontally.
     - __vertical_flip__: Boolean. Randomly flip inputs vertically.
+    - __dim_ordering__: One of {"th", "tf"}.
+        "tf" mode means that the images should have shape `(samples, width, height, channels)`,
+        "th" mode means that the images should have shape `(samples, channels, width, height)`.
 
 - __Methods__:
     - __fit(X)__: Required if featurewise_center or featurewise_std_normalization or zca_whitening. Compute necessary quantities on some sample data.