# Using Manot With Activeloop

<figure><img src="https://4027756909-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Fcd2vdcgRkDxv78ONCpVW%2Fuploads%2F4retbm0PVkyp8TYfTBGJ%2Fmanot-active.jpg?alt=media&#x26;token=bf872a5b-abfb-45af-8975-f5e23bbf33a9" alt=""><figcaption></figcaption></figure>

We're excited to share the news that you now have the ability to monitor your model's performance on your Deep Lake datasets, thanks to the collaboration between Activeloop and Manot. This integration will prove to be extremely valuable in a range of applications, including surveillance ML, autonomous vehicles & robotics, and image search. You can find full details of how to utilize Activeloop and Manot in our extensive [blog post here](https://www.activeloop.ai/resources/how-to-monitor-models-in-production-with-activeloop-manot/).

You can also find sample implementations using Manot and Activeloop's integration blow.

* [Classification example](https://github.com/manotai/manot-client/blob/main/notebooks/Deeplake%20Classifications.ipynb)
* [Detections example](https://github.com/manotai/manot-client/blob/main/notebooks/Deeplake_Detections.ipynb)

<br>


---

# 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://manot.gitbook.io/manot/product-guide/using-manot-with-activeloop.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.