> For the complete documentation index, see [llms.txt](https://docs.graviti.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.graviti.com/guide/tensorbay/visualization/huo-qu-pharos.md).

# Explore Pharos

## Visualize Open Datasets <a href="#id-1" id="id-1"></a>

Pharos is a convenient tool that enables you to visualize datasets online in our Open Datasets community. All you need to do is go to the General tab on the Dataset Details page, scroll down and find Data Preview to explore online data visualization. For more information, please see:

{% content-ref url="/pages/-MWXnURM4t4\_MBiOLfW9" %}
[Preview Data and Label Distribution Online](/guide/opendataset/visualization.md)
{% endcontent-ref %}

## Visualize Custom Datasets <a href="#id-2" id="id-2"></a>

To visualize your own dataset, Pharos offers the following two available ways:

1. Upload your dataset to TensorBay. You can refer to the link below for more details. After uploading the data, sign in to your account, enter the Dataset Details page, click General, and start to visualize your own dataset.

{% content-ref url="/pages/-MWWnuVASpJRl\_DoaSdy" %}
[How to Quickly Prepare a Dataset](/guide/tensorbay/data.md)
{% endcontent-ref %}

&#x20;   2\. Read local data via TensorBay SDK and use Pharos to visualize immediately. You can access all the functions of the data visualization tool and have a clear view of the data quality, with no need to sign in or upload. Please check the [PythonSDK Help Doc](https://tensorbay-python-sdk.graviti.com/en/latest/features/visualization.html) for details.

{% hint style="info" %}
This method is only available for the visualization of data and annotations. If you want to visualize the annotation distribution, you have to upload your data to TensorBay.
{% endhint %}


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