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Fix gitignore to format Docs datasets (#16071)

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Signed-off-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
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Glenn Jocher 2024-09-06 17:17:33 +02:00 • committed by GitHub
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docs/en/datasets/classify/imagenette.md
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@ -152,12 +152,12 @@ The ImageNette dataset is advantageous for several reasons:
- **Quick and Simple**: It contains only 10 classes, making it less complex and time-consuming compared to larger datasets.
- **Educational Use**: Ideal for learning and teaching the basics of image classification since it requires less computational power and time.
- **Versatility**: Widely used to train and benchmark various machine learning models, especially in image classification.
For more details on model training and dataset management, explore the [Dataset Structure](#dataset-structure) section.
### Can the ImageNette dataset be used with different image sizes?
Yes, the ImageNette dataset is also available in two resized versions: ImageNette160 and ImageNette320. These versions help in faster prototyping and are especially useful when computational resources are limited.
Yes, the ImageNette dataset is also available in two resized versions: ImageNette160 and ImageNette320. These versions help in faster prototyping and are especially useful when computational resources are limited.
!!! Example "Train Example with ImageNette160"
@ -174,7 +174,7 @@ Yes, the ImageNette dataset is also available in two resized versions: ImageNett
```
=== "CLI"
```bash
# Start training from a pretrained *.pt model with ImageNette160
yolo detect train data=imagenette160 model=yolov8n-cls.pt epochs=100 imgsz=160