Update YOLOv8n to YOLO11n in args (#16873)

Signed-off-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>

ultralytics/models/yolo/detect/predict.py

@@ -14,7 +14,7 @@ class DetectionPredictor(BasePredictor):
         from ultralytics.utils import ASSETS
         from ultralytics.models.yolo.detect import DetectionPredictor
 
-        args = dict(model="yolov8n.pt", source=ASSETS)
+        args = dict(model="yolo11n.pt", source=ASSETS)
         predictor = DetectionPredictor(overrides=args)
         predictor.predict_cli()
         ```

ultralytics/models/yolo/detect/train.py

@@ -24,7 +24,7 @@ class DetectionTrainer(BaseTrainer):
         ```python
         from ultralytics.models.yolo.detect import DetectionTrainer
 
-        args = dict(model="yolov8n.pt", data="coco8.yaml", epochs=3)
+        args = dict(model="yolo11n.pt", data="coco8.yaml", epochs=3)
         trainer = DetectionTrainer(overrides=args)
         trainer.train()
         ```

ultralytics/models/yolo/detect/val.py

@@ -22,7 +22,7 @@ class DetectionValidator(BaseValidator):
         ```python
         from ultralytics.models.yolo.detect import DetectionValidator
 
-        args = dict(model="yolov8n.pt", data="coco8.yaml")
+        args = dict(model="yolo11n.pt", data="coco8.yaml")
         validator = DetectionValidator(args=args)
         validator()
         ```

ultralytics/models/yolo/model.py

@@ -11,7 +11,7 @@ from ultralytics.utils import ROOT, yaml_load
 class YOLO(Model):
     """YOLO (You Only Look Once) object detection model."""
 
-    def __init__(self, model="yolov8n.pt", task=None, verbose=False):
+    def __init__(self, model="yolo11n.pt", task=None, verbose=False):
         """Initialize YOLO model, switching to YOLOWorld if model filename contains '-world'."""
         path = Path(model)
         if "-world" in path.stem and path.suffix in {".pt", ".yaml", ".yml"}:  # if YOLOWorld PyTorch model