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ultralytics 8.0.141 create new SettingsManager (#3790)

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Glenn Jocher 2023-07-23 16:03:34 +02:00 • committed by GitHub
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14
docs/datasets/classify/imagenette.md
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@ -35,10 +35,10 @@ To train a model on the ImageNette dataset for 100 epochs with a standard image
```python
from ultralytics import YOLO
# Load a model
model = YOLO('yolov8n-cls.pt') # load a pretrained model (recommended for training)
# Train the model
model.train(data='imagenette', epochs=100, imgsz=224)
```
@ -70,10 +70,10 @@ To use these datasets, simply replace 'imagenette' with 'imagenette160' or 'imag
```python
from ultralytics import YOLO
# Load a model
model = YOLO('yolov8n-cls.pt') # load a pretrained model (recommended for training)
# Train the model with ImageNette160
model.train(data='imagenette160', epochs=100, imgsz=160)
```
@ -91,10 +91,10 @@ To use these datasets, simply replace 'imagenette' with 'imagenette160' or 'imag
```python
from ultralytics import YOLO
# Load a model
model = YOLO('yolov8n-cls.pt') # load a pretrained model (recommended for training)
# Train the model with ImageNette320
model.train(data='imagenette320', epochs=100, imgsz=320)
```
@ -110,4 +110,4 @@ These smaller versions of the dataset allow for rapid iterations during the deve
## Citations and Acknowledgments
If you use the ImageNette dataset in your research or development work, please acknowledge it appropriately. For more information about the ImageNette dataset, visit the [ImageNette dataset GitHub page](https://github.com/fastai/imagenette).
If you use the ImageNette dataset in your research or development work, please acknowledge it appropriately. For more information about the ImageNette dataset, visit the [ImageNette dataset GitHub page](https://github.com/fastai/imagenette).