Update to lowercase MkDocs admonitions (#15990)

Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
This commit is contained in:
MatthewNoyce 2024-09-06 16:33:26 +01:00 committed by GitHub
parent ce24c7273e
commit c2b647a768
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
133 changed files with 529 additions and 521 deletions

View file

@ -44,7 +44,7 @@ This table provides an at-a-glance view of the capabilities of each YOLOv3 varia
This example provides simple YOLOv3 training and inference examples. For full documentation on these and other [modes](../modes/index.md) see the [Predict](../modes/predict.md), [Train](../modes/train.md), [Val](../modes/val.md) and [Export](../modes/export.md) docs pages.
!!! Example
!!! example
=== "Python"
@ -82,7 +82,7 @@ This example provides simple YOLOv3 training and inference examples. For full do
If you use YOLOv3 in your research, please cite the original YOLO papers and the Ultralytics YOLOv3 repository:
!!! Quote ""
!!! quote ""
=== "BibTeX"
@ -107,7 +107,7 @@ YOLOv3 is the third iteration of the YOLO (You Only Look Once) object detection
Training a YOLOv3 model with Ultralytics is straightforward. You can train the model using either Python or CLI:
!!! Example
!!! example
=== "Python"
@ -138,7 +138,7 @@ YOLOv3u improves upon YOLOv3 and YOLOv3-Ultralytics by incorporating the anchor-
You can perform inference using YOLOv3 models by either Python scripts or CLI commands:
!!! Example
!!! example
=== "Python"
@ -169,7 +169,7 @@ YOLOv3, YOLOv3-Ultralytics, and YOLOv3u primarily support object detection tasks
If you use YOLOv3 in your research, please cite the original YOLO papers and the Ultralytics YOLOv3 repository. Example BibTeX citation:
!!! Quote ""
!!! quote ""
=== "BibTeX"