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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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Ultralytics Assistant 2024-10-01 16:58:12 +02:00 • committed by GitHub
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docs/en/datasets/pose/index.md
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@ -72,7 +72,7 @@ The `train` and `val` fields specify the paths to the directories containing the
from ultralytics import YOLO
# Load a model
model = YOLO("yolov8n-pose.pt") # load a pretrained model (recommended for training)
model = YOLO("yolo11n-pose.pt") # load a pretrained model (recommended for training)
# Train the model
results = model.train(data="coco8-pose.yaml", epochs=100, imgsz=640)
@ -82,7 +82,7 @@ The `train` and `val` fields specify the paths to the directories containing the
```bash
# Start training from a pretrained *.pt model
yolo pose train data=coco8-pose.yaml model=yolov8n-pose.pt epochs=100 imgsz=640
yolo pose train data=coco8-pose.yaml model=yolo11n-pose.pt epochs=100 imgsz=640
```
## Supported Datasets
@ -171,7 +171,7 @@ To use the COCO-Pose dataset with Ultralytics YOLO:
```python
from ultralytics import YOLO
model = YOLO("yolov8n-pose.pt") # load pretrained model
model = YOLO("yolo11n-pose.pt") # load pretrained model
results = model.train(data="coco-pose.yaml", epochs=100, imgsz=640)
```
@ -188,7 +188,7 @@ To add your dataset:
```python
from ultralytics import YOLO
model = YOLO("yolov8n-pose.pt")
model = YOLO("yolo11n-pose.pt")
results = model.train(data="your-dataset.yaml", epochs=100, imgsz=640)
```