diff --git a/README.md b/README.md
index 1aa26fe..5b358ef 100644
--- a/README.md
+++ b/README.md
@@ -26,9 +26,9 @@ The model in Keras is built by the essay author, see [sergiomsilva/alpr-unconstr
     </tr>
     <tr>
         <td> Confidence </td>
-        <td> 0.9705 </td>
-        <td> 0.9828 </td>
-        <td> 0.9987 </td>
+        <td> 0.9841 </td>
+        <td> 0.9945 </td>
+        <td> 0.9979 </td>
     </tr>
 </table>
 
diff --git a/docs/sample/annotated/03009.jpg b/docs/sample/annotated/03009.jpg
index 9bb789e..8edb56e 100644
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diff --git a/docs/sample/annotated/03016.jpg b/docs/sample/annotated/03016.jpg
index cf95957..7c56c47 100644
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diff --git a/docs/sample/annotated/03025.jpg b/docs/sample/annotated/03025.jpg
index e0021a2..b94d007 100644
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diff --git a/docs/sample/warped/03009.jpg b/docs/sample/warped/03009.jpg
index 09a6871..578a35f 100644
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diff --git a/docs/sample/warped/03016.jpg b/docs/sample/warped/03016.jpg
index 0c63f1b..0701f37 100644
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diff --git a/docs/sample/warped/03025.jpg b/docs/sample/warped/03025.jpg
index 478788c..d729da1 100644
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diff --git a/wpodnet/backend.py b/wpodnet/backend.py
index 6eabce5..f7b73ee 100644
--- a/wpodnet/backend.py
+++ b/wpodnet/backend.py
@@ -45,6 +45,7 @@ class Predictor:
         [1., 1., 1., 1.]
     ])
     _scaling_const = 7.75
+    _stride = 16
 
     def __init__(self, wpodnet: WPODNet):
         self.wpodnet = wpodnet
@@ -55,11 +56,15 @@ def _resize_to_fixed_ratio(self, image: Image.Image) -> Image.Image:
 
         wh_ratio = max(h, w) / min(h, w)
         side = int(wh_ratio * 288)
-        bound_dim = min(side + side % 16, 608)
+        bound_dim = min(side + side % self._stride, 608)
 
         factor = bound_dim / min(h, w)
         reg_w, reg_h = int(w * factor), int(h * factor)
 
+        # Ensure the both width and height are the multiply of `self._stride`
+        reg_w += self._stride - reg_w % self._stride
+        reg_h += self._stride - reg_h % self._stride
+
         return image.resize((reg_w, reg_h))
 
     def _to_torch_image(self, image: Image.Image) -> torch.Tensor: