In this guide, we show you how to convert data between the
Tensorflow CSVand
GroundTruthformats for free. You can use your converted data to train
models and other models that support the
GroundTruth 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 Tensorflow Object Detection 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 Sagemaker GroundTruth Manifest 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 Tensorflow Object Detection CSV format to Sagemaker GroundTruth Manifest format!
Ready to use your new GroundTruth dataset? Great!
To learn more about Amazon's related hosted cloud training service, see our full breakdown of Amazon Rekognition Custom Labels.
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 Tensorflow Object Detection 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.