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Fix typo in the augmentation guide (#22645)

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Signed-off-by: Alexis Schutzger <132259399+picsalex@users.noreply.github.com>
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Alexis Schutzger 2025-11-10 11:25:26 +01:00 committed by GitHub
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docs/en/guides/yolo-data-augmentation.md
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@ -142,7 +142,7 @@ Then launch the training with the Python API:
- **Range**: `0.0` - `1.0`
- **Default**: `{{ hsv_s }}`
- **Usage**: Modifies the intensity of colors in the image. The `hsv_h` hyperparameter defines the shift magnitude, with the final adjustment randomly chosen between `-hsv_s` and `hsv_s`. For example, with `hsv_s=0.7`, the intensity is randomly selected within`-0.7` to `0.7`.
- **Usage**: Modifies the intensity of colors in the image. The `hsv_s` hyperparameter defines the shift magnitude, with the final adjustment randomly chosen between `-hsv_s` and `hsv_s`. For example, with `hsv_s=0.7`, the intensity is randomly selected within`-0.7` to `0.7`.
- **Purpose**: Helps models handle varying weather conditions and camera settings. For example, a red traffic sign might appear highly vivid on a sunny day but look dull and faded in foggy conditions.
- **Ultralytics' implementation**: [RandomHSV](https://docs.ultralytics.com/reference/data/augment/#ultralytics.data.augment.RandomHSV)