@ -19,28 +19,16 @@ The output of an oriented object detector is a set of rotated bounding boxes tha
YOLOv8 OBB models use the `-obb` suffix, i.e. `yolov8n-obb.pt` and are pretrained on [DOTAv1 ](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/cfg/datasets/DOTAv1.yaml ).
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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 with YOLOv8-OBB using Ultralytics HUB
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< strong > Watch:< / strong > Object Detection using Ultralytics YOLOv8 Oriented Bounding Boxes (YOLOv8-OBB)
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## Visual Samples
@ -98,6 +86,17 @@ Train YOLOv8n-obb on the `dota8.yaml` dataset for 100 epochs at image size 640.
yolo obb train data=dota8.yaml model=yolov8n-obb.yaml pretrained=yolov8n-obb.pt epochs=100 imgsz=640
```
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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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### Dataset format
OBB dataset format can be found in detail in the [Dataset Guide ](../datasets/obb/index.md ).
@ -158,6 +157,17 @@ Use a trained YOLOv8n-obb model to run predictions on images.
yolo obb predict model=path/to/best.pt source='https://ultralytics.com/images/bus.jpg' # predict with custom model
```
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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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See full `predict` mode details in the [Predict ](../modes/predict.md ) page.
## Export
Muhammad Rizwan Munawar
2 months ago
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