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docs/en/macros/augmentation-args.md

@@ -1,5 +1,5 @@
 | Argument           | Type    | Default       | Range         | Description                                                                                                                                                               |
-| ----------------- | ------- | ------------- | ------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| ------------------ | ------- | ------------- | ------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
 | `hsv_h`            | `float` | `0.015`       | `0.0 - 1.0`   | Adjusts the hue of the image by a fraction of the color wheel, introducing color variability. Helps the model generalize across different lighting conditions.            |
 | `hsv_s`            | `float` | `0.7`         | `0.0 - 1.0`   | Alters the saturation of the image by a fraction, affecting the intensity of colors. Useful for simulating different environmental conditions.                            |
 | `hsv_v`            | `float` | `0.4`         | `0.0 - 1.0`   | Modifies the value (brightness) of the image by a fraction, helping the model to perform well under various lighting conditions.                                          |
@@ -18,4 +18,4 @@
 | `auto_augment`     | `str`   | `randaugment` | -             | Automatically applies a predefined augmentation policy (`randaugment`, `autoaugment`, `augmix`), optimizing for classification tasks by diversifying the visual features. |
 | `erasing`          | `float` | `0.4`         | `0.0 - 0.9`   | Randomly erases a portion of the image during classification training, encouraging the model to focus on less obvious features for recognition.                           |
 | `crop_fraction`    | `float` | `1.0`         | `0.1 - 1.0`   | Crops the classification image to a fraction of its size to emphasize central features and adapt to object scales, reducing background distractions.                      |
-| `albumentations_p`| `float` | `0.0`         | `0.0 - 1.0`   | Applies the Albumentations library with the specified probability, enabling a wide range of advanced image augmentations.                                                 |
+| `albumentations_p` | `float` | `0.0`         | `0.0 - 1.0`   | Applies the Albumentations library with the specified probability, enabling a wide range of advanced image augmentations.                                                 |