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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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MatthewNoyce 2024-09-06 16:33:26 +01:00 • committed by GitHub
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8
docs/en/datasets/detect/coco.md
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@ -52,7 +52,7 @@ The COCO dataset is widely used for training and evaluating deep learning models
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 dataset, the `coco.yaml` file is maintained at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/cfg/datasets/coco.yaml](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/cfg/datasets/coco.yaml).
!!! Example "ultralytics/cfg/datasets/coco.yaml"
!!! example "ultralytics/cfg/datasets/coco.yaml"
```yaml
--8<-- "ultralytics/cfg/datasets/coco.yaml"
@ -62,7 +62,7 @@ A YAML (Yet Another Markup Language) file is used to define the dataset configur
To train a YOLOv8n model on the COCO 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"
@ -97,7 +97,7 @@ The example showcases the variety and complexity of the images in the COCO datas
If you use the COCO dataset in your research or development work, please cite the following paper:
!!! Quote ""
!!! quote ""
=== "BibTeX"
@ -124,7 +124,7 @@ The [COCO dataset](https://cocodataset.org/#home) (Common Objects in Context) is
To train a YOLOv8 model using the COCO dataset, you can use the following code snippets:
!!! Example "Train Example"
!!! example "Train Example"
=== "Python"