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Update YOLO11 Actions and Docs (#16596)

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docs/en/datasets/detect/argoverse.md
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@ -43,7 +43,7 @@ A YAML (Yet Another Markup Language) file is used to define the dataset configur
## Usage
To train a YOLOv8n model on the Argoverse dataset for 100 [epochs](https://www.ultralytics.com/glossary/epoch) with an image size of 640, you can use the following code snippets. For a comprehensive list of available arguments, refer to the model [Training](../../modes/train.md) page.
To train a YOLO11n model on the Argoverse dataset for 100 [epochs](https://www.ultralytics.com/glossary/epoch) with an image size of 640, you can use the following code snippets. For a comprehensive list of available arguments, refer to the model [Training](../../modes/train.md) page.
!!! example "Train Example"
@ -53,7 +53,7 @@ To train a YOLOv8n model on the Argoverse dataset for 100 [epochs](https://www.u
from ultralytics import YOLO
# Load a model
model = YOLO("yolov8n.pt") # load a pretrained model (recommended for training)
model = YOLO("yolo11n.pt") # load a pretrained model (recommended for training)
# Train the model
results = model.train(data="Argoverse.yaml", epochs=100, imgsz=640)
@ -63,7 +63,7 @@ To train a YOLOv8n model on the Argoverse dataset for 100 [epochs](https://www.u
```bash
# Start training from a pretrained *.pt model
yolo detect train data=Argoverse.yaml model=yolov8n.pt epochs=100 imgsz=640
yolo detect train data=Argoverse.yaml model=yolo11n.pt epochs=100 imgsz=640
```
## Sample Data and Annotations
@ -104,7 +104,7 @@ The [Argoverse](https://www.argoverse.org/) dataset, developed by Argo AI, suppo
### How can I train an Ultralytics YOLO model using the Argoverse dataset?
To train a YOLOv8 model with the Argoverse dataset, use the provided YAML configuration file and the following code:
To train a YOLO11 model with the Argoverse dataset, use the provided YAML configuration file and the following code:
!!! example "Train Example"
@ -114,7 +114,7 @@ To train a YOLOv8 model with the Argoverse dataset, use the provided YAML config
from ultralytics import YOLO
# Load a model
model = YOLO("yolov8n.pt") # load a pretrained model (recommended for training)
model = YOLO("yolo11n.pt") # load a pretrained model (recommended for training)
# Train the model
results = model.train(data="Argoverse.yaml", epochs=100, imgsz=640)
@ -125,7 +125,7 @@ To train a YOLOv8 model with the Argoverse dataset, use the provided YAML config
```bash
# Start training from a pretrained *.pt model
yolo detect train data=Argoverse.yaml model=yolov8n.pt epochs=100 imgsz=640
yolo detect train data=Argoverse.yaml model=yolo11n.pt epochs=100 imgsz=640
```
For a detailed explanation of the arguments, refer to the model [Training](../../modes/train.md) page.