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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/detect/xview.md
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@ -52,7 +52,7 @@ To train a model on the xView dataset for 100 [epochs](https://www.ultralytics.c
from ultralytics import YOLO
# Load a model
model = YOLO("yolov8n.pt") # load a pretrained model (recommended for training)
model = YOLO("yolo11n.pt") # load a pretrained model (recommended for training)
# Train the model
results = model.train(data="xView.yaml", epochs=100, imgsz=640)
@ -62,7 +62,7 @@ To train a model on the xView dataset for 100 [epochs](https://www.ultralytics.c
```bash
# Start training from a pretrained *.pt model
yolo detect train data=xView.yaml model=yolov8n.pt epochs=100 imgsz=640
yolo detect train data=xView.yaml model=yolo11n.pt epochs=100 imgsz=640
```
## Sample Data and Annotations
@ -114,7 +114,7 @@ To train a model on the xView dataset using Ultralytics YOLO, follow these steps
from ultralytics import YOLO
# Load a model
model = YOLO("yolov8n.pt") # load a pretrained model (recommended for training)
model = YOLO("yolo11n.pt") # load a pretrained model (recommended for training)
# Train the model
results = model.train(data="xView.yaml", epochs=100, imgsz=640)
@ -125,7 +125,7 @@ To train a model on the xView dataset using Ultralytics YOLO, follow these steps
```bash
# Start training from a pretrained *.pt model
yolo detect train data=xView.yaml model=yolov8n.pt epochs=100 imgsz=640
yolo detect train data=xView.yaml model=yolo11n.pt epochs=100 imgsz=640
```
For detailed arguments and settings, refer to the model [Training](../../modes/train.md) page.