diff --git a/mmdet/core/post_processing/merge_augs.py b/mmdet/core/post_processing/merge_augs.py
index ed203d32d..167093ebf 100644
--- a/mmdet/core/post_processing/merge_augs.py
+++ b/mmdet/core/post_processing/merge_augs.py
@@ -14,7 +14,7 @@ def merge_aug_proposals(aug_proposals, img_metas, rpn_test_cfg):
             original image size.
 
         img_metas (list[dict]): list of image info dict where each dict has:
-            'img_shape', 'scale_factor', 'flip', and my also contain
+            'img_shape', 'scale_factor', 'flip', and may also contain
             'filename', 'ori_shape', 'pad_shape', and 'img_norm_cfg'.
             For details on the values of these keys see
             `mmdet/datasets/pipelines/formatting.py:Collect`.
diff --git a/mmdet/models/detectors/base.py b/mmdet/models/detectors/base.py
index 914f47659..fab3ae349 100644
--- a/mmdet/models/detectors/base.py
+++ b/mmdet/models/detectors/base.py
@@ -68,7 +68,7 @@ class BaseDetector(nn.Module, metaclass=ABCMeta):
             img (list[Tensor]): List of tensors of shape (1, C, H, W).
                 Typically these should be mean centered and std scaled.
             img_metas (list[dict]): List of image info dict where each dict
-                has: 'img_shape', 'scale_factor', 'flip', and my also contain
+                has: 'img_shape', 'scale_factor', 'flip', and may also contain
                 'filename', 'ori_shape', 'pad_shape', and 'img_norm_cfg'.
                 For details on the values of these keys, see
                 :class:`mmdet.datasets.pipelines.Collect`.