If your labeling tool exported annotations in the
VIA JSONformat, but you’re trying to use a
model that needs
YOLOv4 Pytorchannotations, we’ve got you covered. You can convert those in 3 clicks with Roboflow.
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 workspace on the Public plan.
Once your account has been created, click Create Dataset.
Learn more about how to create these annotations for your object detection dataset in our VGG Image Annotator tutorial.
Next, you can choose Preprocessing and Augmentation options for your dataset version and then click Generate.
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. You can also choose which format you would like to export. Choose
YOLOv4 PyTorch TXT
.
Congratulations, you have successfully converted your dataset from
VGG Image Annotator JSON
format to
YOLOv4 PyTorch TXT
format!
Ready to use your new
YOLOv4 Pytorch
dataset?
To learn more about YOLOv4 PyTorch, check it out in our model library.
Here are some compatible models: