Export

While your data and annotations are stored securely in Supervisely, you can export and save your valuable assets and labels in various formats at any time. Whether you need to exchange data, create backups, or interact with external applications, there are multiple ways to achieve your goal.

Export using Supervisely Apps

You can export data in different ways: from the context menu of a project or a dataset or you can launch the export application directly from the Ecosystem.

Export to Supervisely Format

The best way to export and download your dataset from Supervisely is by saving it to the Supervisely Format. Since it has the full support of every capability available on the platform, no matter how complex your annotations and data are (for example, 3D labels of cloud point episodes with photo context), you can be 100% sure that all the information is saved in the convenient .json-based format.

To download a project or dataset in Supervisely format, select Download in the context menu by three dots icon (⋮) and choose Export in Supervisely Format.

The appropriate Supervisely App will generate an archive, save it to your Files and provide you a download link at the Tasks page.

Export to other Formats

Of course, there are countless other Supervisely Apps that will help download your dataset in any desirable format. Just like with the Supervisely Format, select Download via App in the project or dataset context menu and choose any format of your likening. Here are some examples:

• Export to COCO
• Export to Pascal VOC
• Export activity as csv
• Export to YOLOv8 format
• Export to DOTA
• Export to Cityscapes

Explore more export applications in the Ecosystem.

For Python developers –you can use our Python SDK to download and convert your data to COCO, YOLO, Pascal VOC formats:

sly.Project.download(api, project_id, "./sly_project", log_progress=True)

# Convert project to COCO format
sly.convert.project_to_coco("./sly_project", "./result_coco")

# Convert project to YOLO format (you can specify task_type)
sly.convert.project_to_yolo("./sly_project", "./result_yolo")

# Convert project to Pascal VOC format
sly.convert.project_to_pascal_voc("./sly_project", "./result_pascal")

Check out the documentation for more details on how to convert data using the Supervisely Python SDK and the Developer Portal to get started with the API.

Export only certain items

Some other Supervisely Apps will help you export only subsamples of your data. For example, select Export only labeled items application to skip export of any unlabeled items.

Export to cloud storage

Some Supervisely Apps can do more than just convert your project to some format, but actually provide an interactive web interface to configure more complex exports.

For example, Export to cloud storage allows exporting a project with annotations in Supervisely format directly from Supervisely platform to the most popular cloud storage providers, without any need to download archives. The application supports:

• Amazon S3

• Google Cloud Storage (GCS)

• Microsoft Azure

• Any S3 compatible storage

For developers: you can use the sources of this app as a starting point for your custom export to cloud.

Export via SDK

Utilize our Software Development Kit (SDK) to create custom solutions for data export, tailored to your unique requirements and processes.

Export via API

Our API provides the ability to automate the data export process by integrating our system with external applications and services.