In this guide, we show you how to convert data between the
Cloud Annotationsand
YOLOv7formats for free. You can use your converted data to train
models and other models that support the
YOLOv7 format.
Roboflow is a 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.
Once your account has been created, click Create New Project.
Upload your data to Roboflow by dragging and dropping your IBM Cloud Annotations JSON images and annotations into the upload space.
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:
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 YOLOv7 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 IBM Cloud Annotations JSON format to YOLOv7 PyTorch TXT format!
Ready to use your new YOLOv7 dataset? Great!
Next, use your converted dataset to train a custom YOLOv7 model.
Yes! It is free to convert IBM Cloud Annotations JSON data into the YOLOv7 PyTorch TXT format on the Roboflow platform.
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.