Add `project` and `name` args to docs for predict and val task (#17114)

Co-authored-by: UltralyticsAssistant <web@ultralytics.com>

docs/en/macros/predict-args.md

@@ -15,3 +15,5 @@
 | `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.                                                                                                                                                               |
 | `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.                                                                                                                                                              |

docs/en/macros/validation-args.md

@@ -14,3 +14,5 @@
 | `plots`       | `bool`  | `False` | When set to `True`, generates and saves plots of predictions versus ground truth for visual evaluation of the model's performance.                                                                                                    |
 | `rect`        | `bool`  | `False` | If `True`, uses rectangular inference for batching, reducing padding and potentially increasing speed and efficiency.                                                                                                                 |
 | `split`       | `str`   | `val`   | Determines the dataset split to use for validation (`val`, `test`, or `train`). Allows flexibility in choosing the data segment for performance evaluation.                                                                           |
+| `project`     | `str`   | `None`  | Name of the project directory where validation outputs are saved.                                                                                                                                                                     |
+| `name`        | `str`   | `None`  | Name of the validation run. Used for creating a subdirectory within the project folder, where valdiation logs and outputs are stored.                                                                                                 |