Fix `imgsz` in docs to integer to train, val (#3941)

docs/modes/predict.md

@@ -295,6 +295,7 @@ All supported arguments:
 | `source`       | `'ultralytics/assets'` | source directory for images or videos                                          |
 | `conf`         | `0.25`                 | object confidence threshold for detection                                      |
 | `iou`          | `0.7`                  | intersection over union (IoU) threshold for NMS                                |
+| `imgsz`        | `640`                  | image size as scalar or (h, w) list, i.e. (640, 480)                           |
 | `half`         | `False`                | use half precision (FP16)                                                      |
 | `device`       | `None`                 | device to run on, i.e. cuda device=0/1/2/3 or device=cpu                       |
 | `show`         | `False`                | show results if possible                                                       |

docs/modes/train.md

@@ -143,7 +143,7 @@ Training settings for YOLO models refer to the various hyperparameters and confi
 | `epochs`          | `100`    | number of epochs to train for                                                     |
 | `patience`        | `50`     | epochs to wait for no observable improvement for early stopping of training       |
 | `batch`           | `16`     | number of images per batch (-1 for AutoBatch)                                     |
-| `imgsz`           | `640`    | size of input images as integer or w,h                                            |
+| `imgsz`           | `640`    | size of input images as integer                                                   |
 | `save`            | `True`   | save train checkpoints and predict results                                        |
 | `save_period`     | `-1`     | Save checkpoint every x epochs (disabled if < 1)                                  |
 | `cache`           | `False`  | True/ram, disk or False. Use cache for data loading                               |

docs/modes/val.md

@@ -48,7 +48,7 @@ Validation settings for YOLO models refer to the various hyperparameters and con
 | Key           | Value   | Description                                                        |
 |---------------|---------|--------------------------------------------------------------------|
 | `data`        | `None`  | path to data file, i.e. coco128.yaml                               |
-| `imgsz`       | `640`   | image size as scalar or (h, w) list, i.e. (640, 480)               |
+| `imgsz`       | `640`   | size of input images as integer                                    |
 | `batch`       | `16`    | number of images per batch (-1 for AutoBatch)                      |
 | `save_json`   | `False` | save results to JSON file                                          |
 | `save_hybrid` | `False` | save hybrid version of labels (labels + additional predictions)    |