diff --git a/modules/deeplearning/cloud_fraction_fcn_abi.py b/modules/deeplearning/cloud_fraction_fcn_abi.py
index 00cd3bad86947145be34485eeaed75fc42e1ee4a..fad30b296ef4f8bbb8e615017ed543f67a407f6e 100644
--- a/modules/deeplearning/cloud_fraction_fcn_abi.py
+++ b/modules/deeplearning/cloud_fraction_fcn_abi.py
@@ -406,15 +406,15 @@ class SRCNN:
         data = data.astype(np.float32)
         label = label.astype(np.float32)
 
-        if is_training and DO_AUGMENT:
-            data_ud = np.flip(data, axis=1)
-            label_ud = np.flip(label, axis=1)
-
-            data_lr = np.flip(data, axis=2)
-            label_lr = np.flip(label, axis=2)
-
-            data = np.concatenate([data, data_ud, data_lr])
-            label = np.concatenate([label, label_ud, label_lr])
+        # if is_training and DO_AUGMENT:
+        #     data_ud = np.flip(data, axis=1)
+        #     label_ud = np.flip(label, axis=1)
+        #
+        #     data_lr = np.flip(data, axis=2)
+        #     label_lr = np.flip(label, axis=2)
+        #
+        #     data = np.concatenate([data, data_ud, data_lr])
+        #     label = np.concatenate([label, label_ud, label_lr])
 
         return data, label