ultralytics 8.0.151 add DOTAv2.yaml for OBB training (#4258)

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Kayzwer <68285002+Kayzwer@users.noreply.github.com>

docs/tasks/classify.md

@@ -59,7 +59,7 @@ see the [Configuration](../usage/cfg.md) page.
         model = YOLO('yolov8n-cls.yaml').load('yolov8n-cls.pt')  # build from YAML and transfer weights
 
         # Train the model
-        model.train(data='mnist160', epochs=100, imgsz=64)
+        results = model.train(data='mnist160', epochs=100, imgsz=64)
         ```
 
     === "CLI"

docs/tasks/detect.md

@@ -51,7 +51,7 @@ Train YOLOv8n on the COCO128 dataset for 100 epochs at image size 640. For a ful
         model = YOLO('yolov8n.yaml').load('yolov8n.pt')  # build from YAML and transfer weights
 
         # Train the model
-        model.train(data='coco128.yaml', epochs=100, imgsz=640)
+        results = model.train(data='coco128.yaml', epochs=100, imgsz=640)
         ```
     === "CLI"
 

docs/tasks/pose.md

@@ -62,7 +62,7 @@ Train a YOLOv8-pose model on the COCO128-pose dataset.
         model = YOLO('yolov8n-pose.yaml').load('yolov8n-pose.pt')  # build from YAML and transfer weights
 
         # Train the model
-        model.train(data='coco8-pose.yaml', epochs=100, imgsz=640)
+        results = model.train(data='coco8-pose.yaml', epochs=100, imgsz=640)
         ```
     === "CLI"
 

docs/tasks/segment.md

@@ -59,7 +59,7 @@ arguments see the [Configuration](../usage/cfg.md) page.
         model = YOLO('yolov8n-seg.yaml').load('yolov8n.pt')  # build from YAML and transfer weights
 
         # Train the model
-        model.train(data='coco128-seg.yaml', epochs=100, imgsz=640)
+        results = model.train(data='coco128-seg.yaml', epochs=100, imgsz=640)
         ```
     === "CLI"