> For the complete documentation index, see [llms.txt](https://docs.datagym.ai/documentation/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.datagym.ai/documentation/dataset/connect-with-aws-s3.md).

# Connect with AWS S3

**Data**Gym.ai works well with AWS S3 buckets so you can store all your images there and synchronise with your AI annotation tool.

{% hint style="info" %}
The AWS S3 support may be limited by your subscription plan.
{% endhint %}

To connect our tool with AWS S3 fill the form within the **AWS S3** tab. **Data**Gym.ai needs to know some information about the bucket including:

* A **unique name** to identify that connection. This attribute is only used within **Data**Gym.ai.
* The **bucket name** from AWS S3.
* The **location path** is optional and can be used to limit the access to that path within the bucket.
* The **region** where the bucket is located.
* Some **API credentials** (access key and private key) to read the files within the bucket.

![Please fill the form.](/files/-M941SH9Bwb1DJ7UG29b)

While saving the form or updating the configuration **Data**Gym.ai synchronises the dataset the first time and displays the response beside the form.

![](/files/-M948bJjJoUWDY_TUPZH)