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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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docs/en/datasets/classify/cifar10.md
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@ -42,7 +42,7 @@ The CIFAR-10 dataset is widely used for training and evaluating deep learning mo
To train a YOLO model on the CIFAR-10 dataset for 100 epochs with an image size of 32x32, 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"
@ -75,7 +75,7 @@ The example showcases the variety and complexity of the objects in the CIFAR-10
If you use the CIFAR-10 dataset in your research or development work, please cite the following paper:
!!! Quote ""
!!! quote ""
=== "BibTeX"
@ -96,7 +96,7 @@ We would like to acknowledge Alex Krizhevsky for creating and maintaining the CI
To train a YOLO model on the CIFAR-10 dataset using Ultralytics, you can follow the examples provided for both Python and CLI. Here is a basic example to train your model for 100 epochs with an image size of 32x32 pixels:
!!! Example
!!! example
=== "Python"
@ -153,7 +153,7 @@ Each subset comprises images categorized into 10 classes, with their annotations
If you use the CIFAR-10 dataset in your research or development projects, make sure to cite the following paper:
!!! Quote ""
!!! quote ""
=== "BibTeX"