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Update YOLO11 Actions and Docs (#16596)

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Signed-off-by: UltralyticsAssistant <web@ultralytics.com>
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docs/en/datasets/classify/imagenet10.md
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@ -35,7 +35,7 @@ To test a deep learning model on the ImageNet10 dataset with an image size of 22
from ultralytics import YOLO
# Load a model
model = YOLO("yolov8n-cls.pt") # load a pretrained model (recommended for training)
model = YOLO("yolo11n-cls.pt") # load a pretrained model (recommended for training)
# Train the model
results = model.train(data="imagenet10", epochs=5, imgsz=224)
@ -45,7 +45,7 @@ To test a deep learning model on the ImageNet10 dataset with an image size of 22
```bash
# Start training from a pretrained *.pt model
yolo classify train data=imagenet10 model=yolov8n-cls.pt epochs=5 imgsz=224
yolo classify train data=imagenet10 model=yolo11n-cls.pt epochs=5 imgsz=224
```
## Sample Images and Annotations
@ -94,7 +94,7 @@ To test your deep learning model on the ImageNet10 dataset with an image size of
from ultralytics import YOLO
# Load a model
model = YOLO("yolov8n-cls.pt") # load a pretrained model (recommended for training)
model = YOLO("yolo11n-cls.pt") # load a pretrained model (recommended for training)
# Train the model
results = model.train(data="imagenet10", epochs=5, imgsz=224)
@ -104,7 +104,7 @@ To test your deep learning model on the ImageNet10 dataset with an image size of
```bash
# Start training from a pretrained *.pt model
yolo classify train data=imagenet10 model=yolov8n-cls.pt epochs=5 imgsz=224
yolo classify train data=imagenet10 model=yolo11n-cls.pt epochs=5 imgsz=224
```
Refer to the [Training](../../modes/train.md) page for a comprehensive list of available arguments.