diff --git a/fastembed/image/transform/functional.py b/fastembed/image/transform/functional.py
index ed6f880a..e3b977db 100644
--- a/fastembed/image/transform/functional.py
+++ b/fastembed/image/transform/functional.py
@@ -42,9 +42,10 @@ def center_crop(
     new_shape = image.shape[:-2] + (new_height, new_width)
     new_image = np.zeros_like(image, shape=new_shape, dtype=np.float32)
 
-    top_pad = (new_height - orig_height) // 2
+    # Round padding up to offset the floor-rounded crop origin when the difference is odd.
+    top_pad = (new_height - orig_height + 1) // 2
     bottom_pad = top_pad + orig_height
-    left_pad = (new_width - orig_width) // 2
+    left_pad = (new_width - orig_width + 1) // 2
     right_pad = left_pad + orig_width
     new_image[..., top_pad:bottom_pad, left_pad:right_pad] = image
 
diff --git a/tests/test_image_transform.py b/tests/test_image_transform.py
index d152719c..ceed9e35 100644
--- a/tests/test_image_transform.py
+++ b/tests/test_image_transform.py
@@ -3,6 +3,27 @@
 from PIL import Image
 
 from fastembed.image.transform.functional import normalize, resize
+from fastembed.image.transform.operators import Compose
+
+
+def test_center_crop_odd_padding_keeps_batch_shape_and_pixels() -> None:
+    pixels = np.arange(1, 28, dtype=np.uint8).reshape(3, 3, 3)
+    processor = Compose.from_config(
+        {
+            "do_resize": False,
+            "do_center_crop": True,
+            "crop_size": 4,
+            "do_rescale": False,
+        }
+    )
+    images = [Image.fromarray(pixels), Image.new("RGB", (4, 4))]
+
+    batch = np.array(processor(images))
+    expected = np.zeros((3, 4, 4), dtype=np.float32)
+    expected[:, 1:, 1:] = pixels.transpose(2, 0, 1)
+
+    assert batch.shape == (2, 3, 4, 4)
+    np.testing.assert_array_equal(batch[0], expected)
 
 
 @pytest.mark.parametrize(