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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@ -28,7 +28,7 @@ The Caltech-101 dataset is extensively used for training and evaluating deep lea
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To train a YOLO model on the Caltech-101 dataset for 100 epochs, you can use the following code snippets. For a comprehensive list of available arguments, refer to the model [Training](../../modes/train.md) page.
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!!! Example "Train Example"
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!!! example "Train Example"
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=== "Python"
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@ -61,7 +61,7 @@ The example showcases the variety and complexity of the objects in the Caltech-1
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If you use the Caltech-101 dataset in your research or development work, please cite the following paper:
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!!! Quote ""
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!!! quote ""
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=== "BibTeX"
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@ -90,7 +90,7 @@ The [Caltech-101](https://data.caltech.edu/records/mzrjq-6wc02) dataset is widel
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To train an Ultralytics YOLO model on the Caltech-101 dataset, you can use the provided code snippets. For example, to train for 100 epochs:
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!!! Example "Train Example"
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!!! example "Train Example"
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=== "Python"
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@ -128,7 +128,7 @@ These features make it an excellent choice for training and evaluating object re
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Citing the Caltech-101 dataset in your research acknowledges the creators' contributions and provides a reference for others who might use the dataset. The recommended citation is:
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!!! Quote ""
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!!! quote ""
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=== "BibTeX"
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