diff --git a/ultralytics/yolo/v8/segment/val.py b/ultralytics/yolo/v8/segment/val.py
index 288d378..019da2f 100644
--- a/ultralytics/yolo/v8/segment/val.py
+++ b/ultralytics/yolo/v8/segment/val.py
@@ -90,12 +90,14 @@ class SegmentationValidator(DetectionValidator):
             if self.args.single_cls:
                 pred[:, 5] = 0
             predn = pred.clone()
-            ops.scale_boxes(batch["img"][si].shape[1:], predn[:, :4], shape)  # native-space pred
+            ops.scale_boxes(batch["img"][si].shape[1:], predn[:, :4], shape,
+                            ratio_pad=batch["ratio_pad"][si])  # native-space pred
 
             # Evaluate
             if nl:
                 tbox = ops.xywh2xyxy(bbox)  # target boxes
-                ops.scale_boxes(batch["img"][si].shape[1:], tbox, shape)  # native-space labels
+                ops.scale_boxes(batch["img"][si].shape[1:], tbox, shape,
+                                ratio_pad=batch["ratio_pad"][si])  # native-space labels
                 labelsn = torch.cat((cls, tbox), 1)  # native-space labels
                 correct_bboxes = self._process_batch(predn, labelsn)
                 # TODO: maybe remove these `self.` arguments as they already are member variable
@@ -117,7 +119,9 @@ class SegmentationValidator(DetectionValidator):
             # Save
             if self.args.save_json:
                 pred_masks = ops.scale_image(batch["img"][si].shape[1:],
-                                             pred_masks.permute(1, 2, 0).contiguous().cpu().numpy(), shape)
+                                             pred_masks.permute(1, 2, 0).contiguous().cpu().numpy(),
+                                             shape,
+                                             ratio_pad=batch["ratio_pad"][si])
                 self.pred_to_json(predn, batch["im_file"][si], pred_masks)
             # if self.args.save_txt:
             #    save_one_txt(predn, save_conf, shape, file=save_dir / 'labels' / f'{path.stem}.txt')