Update to lowercase MkDocs admonitions (#15990)

Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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MatthewNoyce 2024-09-06 16:33:26 +01:00 committed by GitHub
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@ -29,7 +29,7 @@ This dataset is intended for use with [Ultralytics HUB](https://hub.ultralytics.
A YAML (Yet Another Markup Language) file serves as the means to specify the configuration details of a dataset. It encompasses crucial data such as file paths, class definitions, and other pertinent information. Specifically, for the `tiger-pose.yaml` file, you can check [Ultralytics Tiger-Pose Dataset Configuration File](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/cfg/datasets/tiger-pose.yaml).
!!! Example "ultralytics/cfg/datasets/tiger-pose.yaml"
!!! example "ultralytics/cfg/datasets/tiger-pose.yaml"
```yaml
--8<-- "ultralytics/cfg/datasets/tiger-pose.yaml"
@ -39,7 +39,7 @@ A YAML (Yet Another Markup Language) file serves as the means to specify the con
To train a YOLOv8n-pose model on the Tiger-Pose dataset for 100 epochs with an image size of 640, you can use the following code snippets. For a comprehensive list of available arguments, refer to the model [Training](../../modes/train.md) page.
!!! Example "Train Example"
!!! example "Train Example"
=== "Python"
@ -72,7 +72,7 @@ The example showcases the variety and complexity of the images in the Tiger-Pose
## Inference Example
!!! Example "Inference Example"
!!! example "Inference Example"
=== "Python"
@ -107,7 +107,7 @@ The Ultralytics Tiger-Pose dataset is designed for pose estimation tasks, consis
To train a YOLOv8n-pose model on the Tiger-Pose dataset for 100 epochs with an image size of 640, use the following code snippets. For more details, visit the [Training](../../modes/train.md) page:
!!! Example "Train Example"
!!! example "Train Example"
=== "Python"
@ -137,7 +137,7 @@ The `tiger-pose.yaml` file is used to specify the configuration details of the T
To perform inference using a YOLOv8 model trained on the Tiger-Pose dataset, you can use the following code snippets. For a detailed guide, visit the [Prediction](../../modes/predict.md) page:
!!! Example "Inference Example"
!!! example "Inference Example"
=== "Python"