diff --git a/docs/en/tasks/obb.md b/docs/en/tasks/obb.md index 2fc2b9da..186ffbb0 100644 --- a/docs/en/tasks/obb.md +++ b/docs/en/tasks/obb.md @@ -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). - - - - - -
- -
- Watch: Object Detection using Ultralytics YOLOv8 Oriented Bounding Boxes (YOLOv8-OBB) - 		- -
- Watch: Object Detection with YOLOv8-OBB using Ultralytics HUB -
+

+
+ +
+ Watch: Object Detection using Ultralytics YOLOv8 Oriented Bounding Boxes (YOLOv8-OBB) +

## 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 ``` +

+
+ +
+ Watch: How to Train Ultralytics YOLOv8-OBB (Oriented Bounding Boxes) Models on DOTA Dataset using Ultralytics HUB +

+ ### 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 ``` +

+
+ +
+ Watch: How to Detect and Track Storage Tanks using Ultralytics YOLOv8-OBB | Oriented Bounding Boxes | DOTA +

+ See full `predict` mode details in the [Predict](../modes/predict.md) page. ## Export