How To Convert Supervisely JSON to Tensorflow Object Detection CSV

Formats



Supervisely JSON



Convert to

Tensorflow Object Detection CSV

Supervisely JSON

Supervise.ly offers a computer vision platform and uses a proprietary JSON-based annotation format.





Tensorflow Object Detection CSV

The intermediate human-readable format prior to creating a TFRecord.

How To Convert Supervisely JSON to Tensorflow Object Detection CSV

If your labeling tool exported annotations in the

Supervise.ly

format, but you’re trying to use a

model that needs

Tensorflow CSV

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.

Create Roboflow Workspace

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

Supervisely JSON

images and annotations into the upload space.

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 Object Detection CSV

Congratulations, you have successfully converted your dataset from

Supervisely JSON

format to

Tensorflow Object Detection CSV

format!

Next Steps

Ready to use your new

Tensorflow CSV

dataset?

Here are some compatible models:

Try an end-to-end computer vision tutorial, check out your dataset health check or experiment with some augmentations.