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Update YOLO11 Actions and Docs (#16596)

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docs/en/datasets/detect/open-images-v7.md
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---
comments: true
description: Explore the comprehensive Open Images V7 dataset by Google. Learn about its annotations, applications, and use YOLOv8 pretrained models for computer vision tasks.
keywords: Open Images V7, Google dataset, computer vision, YOLOv8 models, object detection, image segmentation, visual relationships, AI research, Ultralytics
description: Explore the comprehensive Open Images V7 dataset by Google. Learn about its annotations, applications, and use YOLO11 pretrained models for computer vision tasks.
keywords: Open Images V7, Google dataset, computer vision, YOLO11 models, object detection, image segmentation, visual relationships, AI research, Ultralytics
---
# Open Images V7 Dataset
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## Usage
To train a YOLOv8n model on the Open Images V7 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 Open Images V7 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.
!!! warning
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```python
from ultralytics import YOLO
# Load a COCO-pretrained YOLOv8n model
model = YOLO("yolov8n.pt")
# Load a COCO-pretrained YOLO11n model
model = YOLO("yolo11n.pt")
# Train the model on the Open Images V7 dataset
results = model.train(data="open-images-v7.yaml", epochs=100, imgsz=640)
@ -97,8 +97,8 @@ To train a YOLOv8n model on the Open Images V7 dataset for 100 [epochs](https://
=== "CLI"
```bash
# Train a COCO-pretrained YOLOv8n model on the Open Images V7 dataset
yolo detect train data=open-images-v7.yaml model=yolov8n.pt epochs=100 imgsz=640
# Train a COCO-pretrained YOLO11n model on the Open Images V7 dataset
yolo detect train data=open-images-v7.yaml model=yolo11n.pt epochs=100 imgsz=640
```
## Sample Data and Annotations
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Open Images V7 is an extensive and versatile dataset created by Google, designed to advance research in computer vision. It includes image-level labels, object bounding boxes, object segmentation masks, visual relationships, and localized narratives, making it ideal for various computer vision tasks such as object detection, segmentation, and relationship detection.
### How do I train a YOLOv8 model on the Open Images V7 dataset?
### How do I train a YOLO11 model on the Open Images V7 dataset?
To train a YOLOv8 model on the Open Images V7 dataset, you can use both Python and CLI commands. Here's an example of training the YOLOv8n model for 100 epochs with an image size of 640:
To train a YOLO11 model on the Open Images V7 dataset, you can use both Python and CLI commands. Here's an example of training the YOLO11n model for 100 epochs with an image size of 640:
!!! example "Train Example"
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```python
from ultralytics import YOLO
# Load a COCO-pretrained YOLOv8n model
model = YOLO("yolov8n.pt")
# Load a COCO-pretrained YOLO11n model
model = YOLO("yolo11n.pt")
# Train the model on the Open Images V7 dataset
results = model.train(data="open-images-v7.yaml", epochs=100, imgsz=640)
@ -158,8 +158,8 @@ To train a YOLOv8 model on the Open Images V7 dataset, you can use both Python a
=== "CLI"
```bash
# Train a COCO-pretrained YOLOv8n model on the Open Images V7 dataset
yolo detect train data=open-images-v7.yaml model=yolov8n.pt epochs=100 imgsz=640
# Train a COCO-pretrained YOLO11n model on the Open Images V7 dataset
yolo detect train data=open-images-v7.yaml model=yolo11n.pt epochs=100 imgsz=640
```
For more details on arguments and settings, refer to the [Training](../../modes/train.md) page.