Update YOLO11 Actions and Docs (#16596)
Signed-off-by: UltralyticsAssistant <web@ultralytics.com>
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@ -27,7 +27,7 @@ The output of an oriented object detector is a set of rotated bounding boxes tha
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allowfullscreen>
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</iframe>
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<br>
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<strong>Watch:</strong> Object Detection using Ultralytics YOLOv8 Oriented Bounding Boxes (YOLOv8-OBB)
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<strong>Watch:</strong> Object Detection using Ultralytics YOLO Oriented Bounding Boxes (YOLO-OBB)
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</p>
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## Visual Samples
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@ -94,7 +94,7 @@ Train YOLO11n-obb on the `dota8.yaml` dataset for 100 [epochs](https://www.ultra
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allowfullscreen>
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</iframe>
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<br>
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<strong>Watch:</strong> How to Train Ultralytics YOLOv8-OBB (Oriented Bounding Boxes) Models on DOTA Dataset using Ultralytics HUB
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<strong>Watch:</strong> How to Train Ultralytics YOLO-OBB (Oriented Bounding Boxes) Models on DOTA Dataset using Ultralytics HUB
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</p>
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### Dataset format
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@ -165,7 +165,7 @@ Use a trained YOLO11n-obb model to run predictions on images.
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</iframe>
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<br>
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<strong>Watch:</strong> How to Detect and Track Storage Tanks using Ultralytics YOLOv8-OBB | Oriented Bounding Boxes | DOTA
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<strong>Watch:</strong> How to Detect and Track Storage Tanks using Ultralytics YOLO-OBB | Oriented Bounding Boxes | DOTA
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</p>
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See full `predict` mode details in the [Predict](../modes/predict.md) page.
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