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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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6
docs/en/tasks/pose.md
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@ -22,7 +22,7 @@ The output of a pose estimation model is a set of points that represent the keyp
allowfullscreen>
</iframe>
<br>
<strong>Watch:</strong> Pose Estimation with Ultralytics YOLOv8.
<strong>Watch:</strong> Pose Estimation with Ultralytics YOLO.
</td>
<td align="center">
<iframe loading="lazy" width="720" height="405" src="https://www.youtube.com/embed/aeAX6vWpfR0"
@ -235,7 +235,7 @@ Validation of a YOLO11-pose model involves assessing its accuracy using the same
from ultralytics import YOLO
# Load a model
model = YOLO("yolov8n-pose.pt") # load an official model
model = YOLO("yolo11n-pose.pt") # load an official model
model = YOLO("path/to/best.pt") # load a custom model
# Validate the model
@ -252,7 +252,7 @@ Yes, you can export a YOLO11-pose model to various formats like ONNX, CoreML, Te
from ultralytics import YOLO
# Load a model
model = YOLO("yolov8n-pose.pt") # load an official model
model = YOLO("yolo11n-pose.pt") # load an official model
model = YOLO("path/to/best.pt") # load a custom trained model
# Export the model