How To Convert LabelBox Video JSON to OpenAI CLIP Classification

If your labeling tool exported annotations in the

LabelBox Video

format, but you’re trying to use a

model that needs


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
LabelBox Video JSON
images and annotations into the upload space.
Upload Data To Roboflow

If you'd like help working with video files for computer vision, check out Roboflow Pro.

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

OpenAI CLIP Classification


Congratulations, you have successfully converted your dataset from

LabelBox Video JSON

format to

OpenAI CLIP Classification


Next Steps

Ready to use your new



Once you've got your object detection or classification dataset into our CLIP format, you'll want to use the "Get Link" option to grab your code snippet and use it with our CLIP colab notebook as described in our OpenAI CLIP tutorial.

Here are some compatible models: