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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/tasks/detect.md
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@ -20,7 +20,7 @@ The output of an object detector is a set of bounding boxes that enclose the obj
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<br>
<strong>Watch:</strong> Object Detection with Pre-trained Ultralytics YOLOv8 Model.
<strong>Watch:</strong> Object Detection with Pre-trained Ultralytics YOLO Model.
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!!! tip
@ -215,7 +215,7 @@ Ultralytics YOLO11 offers various pretrained models for object detection, segmen
For a detailed list and performance metrics, refer to the [Models](https://github.com/ultralytics/ultralytics/tree/main/ultralytics/cfg/models/11) section.
### How can I validate the accuracy of my trained YOLOv8 model?
### How can I validate the accuracy of my trained YOLO model?
To validate the accuracy of your trained YOLO11 model, you can use the `.val()` method in Python or the `yolo detect val` command in CLI. This will provide metrics like mAP50-95, mAP50, and more.