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