# What's Supervisely

**Supervisely** is computer vision platform for researchers and companies to annotate and manage datasets, train neural networks and much more.

Unlike other platforms, Supervisely is [built like OS](/ecosystem.md): instead of having a huge monolith, Supervisely creates a foundation for developing and running applications called Supervisely Apps.

Supervisely is available [online](https://app.supervisely.com/signup) for free, as well as an on-premise edition for enterprises.

## With Supervisely you can

* [Label](/labeling/labeling-toolbox.md) **images**, **videos**, **3D point clouds**, **volumetric slices** and other data in the best labeling toolboxes.

<figure><img src="/files/bX4rPGoxhGG74mUrzjqN" alt=""><figcaption><p>Image labeling tool</p></figcaption></figure>

* **Manage** and **track** annotation workflow at scale with [teams](/collaboration/teams.md), workspaces, roles and [labeling jobs](/labeling/jobs.md).

<figure><img src="/files/W7SmpfKmLdutjeTRbeKc" alt=""><figcaption></figcaption></figure>

* **Train** [neural networks](/neural-networks/overview.md) on your custom datasets or use pre-trained models to speed up manual labeling.

![](/files/DtTr4Xd6k9v1FtCzfrjm)

* Use the best machine learning tools, visualize and improve your data with hundreds of applications from [Ecosystem](https://ecosystem.supervisely.com/)

<figure><img src="/files/5BDEpUqZx2rem8ZsWNfA" alt=""><figcaption></figcaption></figure>

### What's next?

The best way to explore Supervisely is to try it out - so don't wait and [create an account](https://app.supervisely.com/signup) (it's completely free!). Here are some things to start with:

{% content-ref url="/pages/5xVOSLson5vl2rFLKxLT" %}
[How to import](/getting-started/how-to-import.md)
{% endcontent-ref %}

### Beyond the documentation

If you are interested in learning more about Supervisely, you may find those resources interesting:

<table data-view="cards"><thead><tr><th></th><th></th><th data-hidden data-card-target data-type="content-ref"></th></tr></thead><tbody><tr><td><strong>Supervisely Blog 📚</strong></td><td>Where we share tutorials and guides on the hottest topics in computer vision.</td><td><a href="https://supervisely.com/blog/">https://supervisely.com/blog/</a></td></tr><tr><td><strong>Video Course 📽️</strong></td><td>Prefer video? Watch full video course on what is Sueprvisely in 50 chapters.</td><td><a href="https://supervisely.com/what-is-supervisely/">https://supervisely.com/what-is-supervisely/</a></td></tr><tr><td><strong>GitHub Page 🐙</strong></td><td>Want to contribute to Supervisely? Start with our GitHub page here.</td><td><a href="https://github.com/supervisely/supervisely">https://github.com/supervisely/supervisely</a></td></tr></tbody></table>


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# Agent Instructions: Querying This Documentation

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

```
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```

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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.