Link to this section文档工作流 📚#

docs/
├── en/              # English docs
│   ├── index.md     # Homepage
│   ├── guides/      # User guides
│   ├── tasks/       # Task-specific docs
│   ├── models/      # Model documentation
│   └── reference/   # API reference
├── zh/              # Chinese translations
└── overrides/       # Theme customizations

---
description: Brief page description for SEO
keywords: relevant, keywords, for, search
---

# Page Title

Brief introduction explaining what this page covers.

## Section Heading

Content with examples:

```python
from ultralytics import YOLO

# Load pretrained model
model = YOLO("yolo26n.pt")
results = model("image.jpg")
```

### Key points:

- Use bullet points for lists
- Keep paragraphs short
- Include links to related pages

### Code Examples

- **Minimal**: Show only relevant code
- **Runnable**: Examples should work copy-paste (test with actual [YOLO models](https://docs.ultralytics.com/models))
- **Commented**: Explain non-obvious parts
- **Tested**: Verify examples work with current version

```python
from ultralytics import YOLO

# Load pretrained model
model = YOLO("yolo26n.pt")

# Train on custom data
results = model.train(data="coco8.yaml", epochs=3)
```

![Alt text](https://path/to/image.png)

pip install -e ".[docs]"

mkdocs serve

site_name: Ultralytics Docs
theme:
    name: material
    palette:
        - scheme: slate
plugins:
    - search
    - ultralytics

def train(self, data, epochs=100, batch=16):
    """
    Train the model on a dataset.

    Args:
        data (str): Path to data YAML file
        epochs (int): Number of training epochs
        batch (int): Batch size

    Returns:
        (Results): Training results

    Examples:
        ```python
        model = YOLO("yolo26n.pt")
        results = model.train(data="coco8.yaml", epochs=100)
        ```
    """

# Create new guide
touch docs/en/guides/new-guide.md

nav:
    - Home: index.md
    - Guides:
          - New Guide: guides/new-guide.md

mkdocs serve

cp docs/en/page.md docs/zh/page.md