# YOLO-World

YOLO-World is a zero-shot object detection model that allows you to perform object detection without any training, just by describing the items you want to detect.

{% hint style="success" %}
You can also run YOLO-World locally using [Inference](https://inference.roboflow.com), our open-source inference server.
{% endhint %}

### API Reference

The base URL for our hosted API is at `https://infer.roboflow.com`.

{% hint style="info" %}
More information on using YOLO-World with Inference, through the Python SDK or the self-hosted API, see the [YOLO-World Inference docs page](https://inference.roboflow.com/foundation/yolo_world/).
{% endhint %}

{% openapi src="<https://infer.roboflow.com/openapi.json>" path="/yolo\_world/infer" method="post" expanded="false" %}
<https://infer.roboflow.com/openapi.json>
{% endopenapi %}


---

# 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.roboflow.com/deploy/serverless/foundation-models/yolo-world.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.