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Update to lowercase MkDocs admonitions (#15990)

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Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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8
docs/en/datasets/pose/coco.md
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@ -43,7 +43,7 @@ The COCO-Pose dataset is specifically used for training and evaluating deep lear
A YAML (Yet Another Markup Language) file is used to define the dataset configuration. It contains information about the dataset's paths, classes, and other relevant information. In the case of the COCO-Pose dataset, the `coco-pose.yaml` file is maintained at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/cfg/datasets/coco-pose.yaml](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/cfg/datasets/coco-pose.yaml).
!!! Example "ultralytics/cfg/datasets/coco-pose.yaml"
!!! example "ultralytics/cfg/datasets/coco-pose.yaml"
```yaml
--8<-- "ultralytics/cfg/datasets/coco-pose.yaml"
@ -53,7 +53,7 @@ A YAML (Yet Another Markup Language) file is used to define the dataset configur
To train a YOLOv8n-pose model on the COCO-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"
@ -88,7 +88,7 @@ The example showcases the variety and complexity of the images in the COCO-Pose
If you use the COCO-Pose dataset in your research or development work, please cite the following paper:
!!! Quote ""
!!! quote ""
=== "BibTeX"
@ -115,7 +115,7 @@ The [COCO-Pose](https://cocodataset.org/#keypoints-2017) dataset is a specialize
Training a YOLOv8 model on the COCO-Pose dataset can be accomplished using either Python or CLI commands. For example, to train a YOLOv8n-pose model for 100 epochs with an image size of 640, you can follow the steps below:
!!! Example "Train Example"
!!! example "Train Example"
=== "Python"