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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@ -33,7 +33,7 @@ Here is an example of the YOLO dataset format for a single image with two object
1 0.504 0.000 0.501 0.004 0.498 0.004 0.493 0.010 0.492 0.0104
```
!!! Tip "Tip"
!!! tip "Tip"
- The length of each row does **not** have to be equal.
- Each segmentation label must have a **minimum of 3 xy points**: `<class-index> <x1> <y1> <x2> <y2> <x3> <y3>`
@ -66,7 +66,7 @@ The `train` and `val` fields specify the paths to the directories containing the
## Usage
!!! Example
!!! example
=== "Python"
@ -108,7 +108,7 @@ If you have your own dataset and would like to use it for training segmentation
You can easily convert labels from the popular COCO dataset format to the YOLO format using the following code snippet:
!!! Example
!!! example
=== "Python"
@ -130,7 +130,7 @@ Auto-annotation is an essential feature that allows you to generate a segmentati
To auto-annotate your dataset using the Ultralytics framework, you can use the `auto_annotate` function as shown below:
!!! Example
!!! example
=== "Python"