Update YOLOv8n to YOLO11n in args (#16873)

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

ultralytics/utils/benchmarks.py

@@ -47,7 +47,7 @@ from ultralytics.utils.torch_utils import get_cpu_info, select_device
 
 
 def benchmark(
-    model=WEIGHTS_DIR / "yolov8n.pt",
+    model=WEIGHTS_DIR / "yolo11n.pt",
     data=None,
     imgsz=160,
     half=False,
@@ -76,7 +76,7 @@ def benchmark(
     Examples:
         Benchmark a YOLO model with default settings:
         >>> from ultralytics.utils.benchmarks import benchmark
-        >>> benchmark(model="yolov8n.pt", imgsz=640)
+        >>> benchmark(model="yolo11n.pt", imgsz=640)
     """
     import pandas as pd  # scope for faster 'import ultralytics'
 

ultralytics/utils/checks.py

@@ -458,7 +458,7 @@ def check_torchvision():
             )
 
 
-def check_suffix(file="yolov8n.pt", suffix=".pt", msg=""):
+def check_suffix(file="yolo11n.pt", suffix=".pt", msg=""):
     """Check file(s) for acceptable suffix."""
     if file and suffix:
         if isinstance(suffix, str):

ultralytics/utils/downloads.py

@@ -425,7 +425,7 @@ def attempt_download_asset(file, repo="ultralytics/assets", release="v8.3.0", **
 
     Example:
         ```python
-        file_path = attempt_download_asset("yolov8n.pt", repo="ultralytics/assets", release="latest")
+        file_path = attempt_download_asset("yolo11n.pt", repo="ultralytics/assets", release="latest")
         ```
     """
     from ultralytics.utils import SETTINGS  # scoped for circular import

ultralytics/utils/files.py

@@ -183,7 +183,7 @@ def get_latest_run(search_dir="."):
     return max(last_list, key=os.path.getctime) if last_list else ""
 
 
-def update_models(model_names=("yolov8n.pt",), source_dir=Path("."), update_names=False):
+def update_models(model_names=("yolo11n.pt",), source_dir=Path("."), update_names=False):
     """
     Updates and re-saves specified YOLO models in an 'updated_models' subdirectory.
 
@@ -195,7 +195,7 @@ def update_models(model_names=("yolov8n.pt",), source_dir=Path("."), update_name
     Examples:
         Update specified YOLO models and save them in 'updated_models' subdirectory:
         >>> from ultralytics.utils.files import update_models
-        >>> model_names = ("yolov8n.pt", "yolov8s.pt")
+        >>> model_names = ("yolo11n.pt", "yolov8s.pt")
         >>> update_models(model_names, source_dir=Path("/models"), update_names=True)
     """
     from ultralytics import YOLO

ultralytics/utils/tuner.py

@@ -28,7 +28,7 @@ def run_ray_tune(
         from ultralytics import YOLO
 
         # Load a YOLOv8n model
-        model = YOLO("yolov8n.pt")
+        model = YOLO("yolo11n.pt")
 
         # Start tuning hyperparameters for YOLOv8n training on the COCO8 dataset
         result_grid = model.tune(data="coco8.yaml", use_ray=True)