If your labeling tool exported annotations in the
GroundTruthformat, but you’re trying to use a
model that needs
CreateMLannotations, 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. It's completely free for your first 1,000 images. You'll need an account to convert your dataset.
Once your account has been created, click Create Dataset.
To learn more about Amazon's related hosted cloud training service, see our full breakdown of Amazon Rekognition Custom Labels.
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
CreateML JSON
.
Congratulations, you have successfully converted your dataset from
Sagemaker GroundTruth Manifest
format to
CreateML JSON
format!
Ready to use your new
CreateML
dataset?
Training a no-code object detection model with CreateML is easy, just follow our CreateML tutorial.
Here are some compatible models:
Try an end-to-end computer vision tutorial, check out your dataset health check or experiment with some augmentations.