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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/caltech101.md
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@ -36,7 +36,7 @@ To train a YOLO model on the Caltech-101 dataset for 100 epochs, you can use the
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="caltech101", epochs=100, imgsz=416)
@ -46,7 +46,7 @@ To train a YOLO model on the Caltech-101 dataset for 100 epochs, you can use the
```bash
# Start training from a pretrained *.pt model
yolo classify train data=caltech101 model=yolov8n-cls.pt epochs=100 imgsz=416
yolo classify train data=caltech101 model=yolo11n-cls.pt epochs=100 imgsz=416
```
## Sample Images and Annotations
@ -98,7 +98,7 @@ To train an Ultralytics YOLO model on the Caltech-101 dataset, you can use the p
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="caltech101", epochs=100, imgsz=416)
@ -108,7 +108,7 @@ To train an Ultralytics YOLO model on the Caltech-101 dataset, you can use the p
```bash
# Start training from a pretrained *.pt model
yolo classify train data=caltech101 model=yolov8n-cls.pt epochs=100 imgsz=416
yolo classify train data=caltech101 model=yolo11n-cls.pt epochs=100 imgsz=416
```
For more detailed arguments and options, refer to the model [Training](../../modes/train.md) page.