# Manage images

### Upload images:

There are several ways to upload images.

Supported **mime types** are:&#x20;

* Image/jpeg
* image/png

The different upload buttons can be found in the details page of a dataset.&#x20;

![The upload methods are listed below the dataset summary.](/files/-M-F4xqu0rnD9OX-KCaK)

{% content-ref url="/pages/-LzvG0QQPyBY0Bcqy5XM" %}
[Upload to DataGym.ai](/documentation/dataset/manage-images/upload-to-datagym.md)
{% endcontent-ref %}

{% content-ref url="/pages/-LzvFyJxwqiSUuyN-TZ5" %}
[Add public links](/documentation/dataset/manage-images/add-public-links.md)
{% endcontent-ref %}

All uploaded images are listed in the details page:

![Use the actions column to interact with the image.](/files/-M-F8LTgVYDt5rpnnh58)

{% hint style="info" %}
The available memory or the type of usable uploads may be limited by your pricing plan.
{% endhint %}

### Open media file:

To see the media file, use the eye icon in the list. A click on this icon opens the media file within a new browser tab. The used route looks like `/api/image/<id>`  where `<id>` defines the image.

### Delete images:

To delete a single image, use the trash icon in the connected datasets list. This task must be confirmed in a pop-up window.


---

# 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.datagym.ai/documentation/dataset/manage-images.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.
