In this guide, we show you how to convert data between the
Wheatand
AutoML Visionformats for free. You can use your converted data to train
models and other models that support the
AutoML Vision 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 Kaggle Wheat CSV 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 Google Cloud AutoML Vision CSV 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 Kaggle Wheat CSV format to Google Cloud AutoML Vision CSV format!
Ready to use your new AutoML Vision dataset? Great!
To learn more about Google Cloud AutoML Vision, check out our full Cloud AutoML Review where we put it through its paces and compared it against the competing AutoML tools from AWS and Azure.
Try an end-to-end computer vision tutorial, check out your dataset health check or experiment with some augmentations.
Yes! It is free to convert Kaggle Wheat CSV data into the Google Cloud AutoML Vision CSV 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.