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Convert to

Pascal VOC XML

Supervisely JSON

Supervise.ly offers a computer vision platform and uses a proprietary JSON-based annotation format.

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Pascal VOC XML

Pascal VOC is a common XML annotation format that is human readable but doesn't work with any known object detection models.

enterprise only

This conversion is only available on an Enterprise plan.

enterprise only

This conversion is only available on an Enterprise plan.

How To Convert Supervisely JSON to Pascal VOC XML

If your labeling tool exported annotations in the

Supervise.ly

format, but you’re trying to use a

YOLOX

model that needs

VOC

annotations, we’ve got you covered. You can convert data between these formats for free in 3 clicks with Roboflow.

Step 1: Create a free Roboflow public workspace

Roboflow is the universal conversion tool for computer vision annotation formats. The Public plan is the best way for those exploring personal projects, class assignments, and other experiments to try Roboflow. To convert your dataset, start by creating a free workspace on the Public plan.

Create Roboflow Workspace

Step 2: Upload your data into Roboflow

Once your account has been created, click Create New Project.

Upload your data to Roboflow by dragging and dropping your

Supervisely JSON

images and annotations into the upload space.

Step 3: Generate Dataset Version

Next, click "Generate New Version" to generate a new version of your dataset:

You can then apply any preprocessing or augmentation steps to your dataset:

Step 4: Export Dataset Version

After generating, you will be prompted to Export your dataset. You can choose to receive your dataset as a .zip file or a curl download link. Choose

Pascal VOC XML

when asked in what format you want to export your data. You will see a dropdown with various options like this:

Congratulations, you have successfully converted your dataset from

Supervisely JSON

format to

Pascal VOC XML

format!

Summary

Want to dive deeper into converting annotation formats with Roboflow? In the tutorial below, we explore how to convert your data in the Roboflow dashboard. We also discuss rejecting annotations
and train-test-validation splits.
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Next Steps

Ready to use your new

VOC

dataset? Great!

To learn how to manually label your images in VOC XML format, see our CVAT tutorial.

Here are some compatible models:

YOLOX

YOLOX is a high-performance object detection model.

Frequently Asked Questions

Is it free to convert

Supervisely JSON

to

Pascal VOC XML

?
‍

Yes! It is free to convert

Supervisely JSON

data into the

Pascal VOC XML

format on the Roboflow platform.
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How long does it take to convert

Supervisely JSON

data to

Pascal VOC XML

?
‍

If you have between a few and a few thousand images, converting data between these formats will be quick. But, the time it takes to convert between data formats increases with the more images you have.