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:
parent
ce24c7273e
commit
c2b647a768
133 changed files with 529 additions and 521 deletions
|
|
@ -41,7 +41,7 @@ The ImageNet dataset is widely used for training and evaluating deep learning mo
|
|||
|
||||
To train a deep learning model on the ImageNet dataset for 100 epochs with an image size of 224x224, 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"
|
||||
|
||||
|
|
@ -74,7 +74,7 @@ The example showcases the variety and complexity of the images in the ImageNet d
|
|||
|
||||
If you use the ImageNet dataset in your research or development work, please cite the following paper:
|
||||
|
||||
!!! Quote ""
|
||||
!!! quote ""
|
||||
|
||||
=== "BibTeX"
|
||||
|
||||
|
|
@ -102,7 +102,7 @@ The [ImageNet dataset](https://www.image-net.org/) is a large-scale database con
|
|||
|
||||
To use a pretrained Ultralytics YOLO model for image classification on the ImageNet dataset, follow these steps:
|
||||
|
||||
!!! Example "Train Example"
|
||||
!!! example "Train Example"
|
||||
|
||||
=== "Python"
|
||||
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue