Formats

How To Convert VGG Image Annotator JSON to Google Cloud AutoML Vision CSV

If your labeling tool exported annotations in the

VIA JSON

format, but you’re trying to use a

model that needs

AutoML Vision

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

Step 1: Create a Free Roboflow Account

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.

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
VGG Image Annotator JSON
images and annotations into the upload space.
Upload Data To Roboflow

Learn more about how to create these annotations for your object detection dataset in our VGG Image Annotator tutorial.

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

Google Cloud AutoML Vision CSV

.

Congratulations, you have successfully converted your dataset from

VGG Image Annotator JSON

format to

Google Cloud AutoML Vision CSV

format!

Next Steps

Ready to use your new

AutoML Vision

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.

Here are some compatible models:

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