If your labeling tool exported annotations in the
GroundTruthformat, but you’re trying to use a
model that needs
CLIPannotations, we’ve got you covered. You can convert those in 3 clicks with Roboflow.
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.
Once your account has been created, click Create Dataset.
To learn more about Amazon's related hosted cloud training service, see our full breakdown of Amazon Rekognition Custom Labels.
Next, you can choose Preprocessing and Augmentation options for your dataset version and then click Generate.
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
Sagemaker GroundTruth Manifest
format to
OpenAI CLIP Classification
format!
Ready to use your new
CLIP
dataset?
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: