Formats

How To Convert SuperAnnotate JSON to Tensorflow TFRecord

If your labeling tool exported annotations in the

Superannotate

format, but you’re trying to use a

model that needs

TFRecord

annotations, we’ve got you covered. You can convert those in 3 clicks with Roboflow.

Step 1: Create a Free Roboflow Public Workspace

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 workspace on the Public plan.

Step 2: Upload your data into Roboflow

Once your account has been created, click Create Dataset.

Upload your data to Roboflow by dragging and dropping your
SuperAnnotate JSON
images and annotations into the upload space.
Upload Data To Roboflow

Step 3: Generate Dataset Version

Next, you can choose Preprocessing and Augmentation options for your dataset version and then click Generate.

Step 4: Export Dataset Version

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

Tensorflow TFRecord

.

Congratulations, you have successfully converted your dataset from

SuperAnnotate JSON

format to

Tensorflow TFRecord

format!

Next Steps