diff --git a/ppdet/data/data_feed.py b/ppdet/data/data_feed.py
index 0de5ad1ab97a5a42805af3f4664c60d3ac143558..d8fa69915fb222fc9b5e45440add7d72d75b2bf8 100644
--- a/ppdet/data/data_feed.py
+++ b/ppdet/data/data_feed.py
@@ -453,7 +453,7 @@ class FasterRCNNTrainFeed(DataFeed):
                      'image', 'im_info', 'im_id', 'gt_box', 'gt_label',
                      'is_crowd'
                  ],
-                 image_shape=[3, 800, 1333],
+                 image_shape=[None, 3, None, None],
                  sample_transforms=[
                      DecodeImage(to_rgb=True),
                      RandomFlipImage(prob=0.5),
@@ -505,7 +505,7 @@ class FasterRCNNEvalFeed(DataFeed):
                                      COCO_VAL_IMAGE_DIR).__dict__,
                  fields=['image', 'im_info', 'im_id', 'im_shape', 'gt_box',
                          'gt_label', 'is_difficult'],
-                 image_shape=[3, 800, 1333],
+                 image_shape=[None, 3, None, None],
                  sample_transforms=[
                      DecodeImage(to_rgb=True),
                      NormalizeImage(mean=[0.485, 0.456, 0.406],
@@ -552,7 +552,7 @@ class FasterRCNNTestFeed(DataFeed):
                  dataset=SimpleDataSet(COCO_VAL_ANNOTATION,
                                        COCO_VAL_IMAGE_DIR).__dict__,
                  fields=['image', 'im_info', 'im_id', 'im_shape'],
-                 image_shape=[3, 800, 1333],
+                 image_shape=[None, 3, None, None],
                  sample_transforms=[
                      DecodeImage(to_rgb=True),
                      NormalizeImage(mean=[0.485, 0.456, 0.406],
@@ -600,7 +600,7 @@ class MaskRCNNTrainFeed(DataFeed):
                      'image', 'im_info', 'im_id', 'gt_box', 'gt_label',
                      'is_crowd', 'gt_mask'
                  ],
-                 image_shape=[3, 800, 1333],
+                 image_shape=[None, 3, None, None],
                  sample_transforms=[
                      DecodeImage(to_rgb=True),
                      RandomFlipImage(prob=0.5, is_mask_flip=True),
@@ -646,7 +646,7 @@ class MaskRCNNEvalFeed(DataFeed):
                  dataset=CocoDataSet(COCO_VAL_ANNOTATION,
                                      COCO_VAL_IMAGE_DIR).__dict__,
                  fields=['image', 'im_info', 'im_id', 'im_shape'],
-                 image_shape=[3, 800, 1333],
+                 image_shape=[None, 3, None, None],
                  sample_transforms=[
                      DecodeImage(to_rgb=True),
                      NormalizeImage(mean=[0.485, 0.456, 0.406],
@@ -698,7 +698,7 @@ class MaskRCNNTestFeed(DataFeed):
                  dataset=SimpleDataSet(COCO_VAL_ANNOTATION,
                                        COCO_VAL_IMAGE_DIR).__dict__,
                  fields=['image', 'im_info', 'im_id', 'im_shape'],
-                 image_shape=[3, 800, 1333],
+                 image_shape=[None, 3, None, None],
                  sample_transforms=[
                      DecodeImage(to_rgb=True),
                      NormalizeImage(