diff --git a/docs/en/macros/predict-args.md b/docs/en/macros/predict-args.md
index 091e692a69..b40650d49a 100644
--- a/docs/en/macros/predict-args.md
+++ b/docs/en/macros/predict-args.md
@@ -13,7 +13,7 @@
 | `augment`       | `bool`         | `False`                | Enables test-time augmentation (TTA) for predictions, potentially improving detection robustness at the cost of inference speed.                                                                                                                                                                               |
 | `agnostic_nms`  | `bool`         | `False`                | Enables class-agnostic Non-Maximum Suppression (NMS), which merges overlapping boxes of different classes. Useful in multi-class detection scenarios where class overlap is common.                                                                                                                            |
 | `classes`       | `list[int]`    | `None`                 | Filters predictions to a set of class IDs. Only detections belonging to the specified classes will be returned. Useful for focusing on relevant objects in multi-class detection tasks.                                                                                                                        |
-| `retina_masks`  | `bool`         | `False`                | Uses high-resolution segmentation masks if available in the model. This can enhance mask quality for segmentation tasks, providing finer detail.                                                                                                                                                               |
+| `retina_masks`  | `bool`         | `False`                | Returns high-resolution segmentation masks. The returned masks (`masks.data`) will match the original image size if enabled. If disabled, they have the image size used during inference.                                                                                                                      |
 | `embed`         | `list[int]`    | `None`                 | Specifies the layers from which to extract feature vectors or [embeddings](https://www.ultralytics.com/glossary/embeddings). Useful for downstream tasks like clustering or similarity search.                                                                                                                 |
 | `project`       | `str`          | `None`                 | Name of the project directory where prediction outputs are saved if `save` is enabled.                                                                                                                                                                                                                         |
 | `name`          | `str`          | `None`                 | Name of the prediction run. Used for creating a subdirectory within the project folder, where prediction outputs are stored if `save` is enabled.                                                                                                                                                              |