# Auto-annotation

To auto-annotate your task with bounding boxes, click on the Auto annotation button on the task page.

<figure><img src="/files/pjqE4RzOFZmqAMTZ7aCQ" alt=""><figcaption><p>Auto annotate button on the task page</p></figcaption></figure>

When you click on the Auto-annotate button, you will see a dialog box asking you to map the Model labels with the task labels. Any labels in your task whose name matches the labels that the Model can predict will be auto-populated.&#x20;

For any other labels, simply select the labels from model and from the task, and the returned output will be assigned the correct labels.

<figure><img src="/files/ZeejnN5BfJ0sacVUG5vW" alt=""><figcaption></figcaption></figure>

Please note that you can only schedule 1 auto-annotate run for a task at a time.


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.mindkosh.com/image-video-annotation/auto-annotation.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
