If your labeling tool exported annotations in the
AutoML Visionformat, but you’re trying to use a
model that needs
GroundTruth annotations, we’ve got you covered. You can convert data between these formats for free 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 free workspace on the Public plan.
Once your account has been created, click Create Dataset.
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.
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
Sagemaker GroundTruth Manifest
.
Congratulations, you have successfully converted your dataset from
Google Cloud AutoML Vision CSV
format to
Sagemaker GroundTruth Manifest
format!
Ready to use your new
GroundTruth
dataset?
To learn more about Amazon's related hosted cloud training service, see our full breakdown of Amazon Rekognition Custom Labels.
Here are some compatible models:
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
Google Cloud AutoML Vision CSV
data into the
Sagemaker GroundTruth Manifest
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.
