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Convert to

YOLOv4 PyTorch TXT

VoTT JSON

The native format of Microsoft's Visual Object Tagging Tool (VoTT)

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

YOLOv4 PyTorch TXT

A format used with the PyTorch port of YOLO v4.

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 VoTT JSON to YOLOv4 PyTorch TXT

If your labeling tool exported annotations in the

VoTT

format, but you’re trying to use a

YOLOv4 PyTorch

model that needs

YOLOv4 Pytorch

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

VoTT 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

YOLOv4 PyTorch TXT

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

VoTT JSON

format to

YOLOv4 PyTorch TXT

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.
‍

Next Steps

Ready to use your new

YOLOv4 Pytorch

dataset? Great!

To learn more about YOLOv4 PyTorch, check it out in our model library.

Here are some compatible models:

YOLOv4 PyTorch

YOLOv4 has emerged as the best real time object detection model. YOLOv4 carries forward many of the research contributions of the YOLO family of models along with new modeling and data augmentation techniques. This implementation is in PyTorch.

Frequently Asked Questions

Is it free to convert

VoTT JSON

to

YOLOv4 PyTorch TXT

?
‍

Yes! It is free to convert

VoTT JSON

data into the

YOLOv4 PyTorch TXT

format on the Roboflow platform.
‍

How long does it take to convert

VoTT JSON

data to

YOLOv4 PyTorch TXT

?
‍

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.