How To Convert Sagemaker GroundTruth Manifest to OpenAI CLIP Classification

Formats



Sagemaker GroundTruth Manifest



Convert to

OpenAI CLIP Classification

Sagemaker GroundTruth Manifest

The proprietary annotation format used by Amazon SageMaker GroundTruth.





OpenAI CLIP Classification

CLIP is an impressive multimodal zero-shot image classifier that achieves impressive results in a wide range of domains with no fine-tuning.

How To Convert Sagemaker GroundTruth Manifest to OpenAI CLIP Classification

If your labeling tool exported annotations in the

GroundTruth

format, but you’re trying to use a

OpenAI CLIP

model that needs

CLIP

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

Sagemaker GroundTruth Manifest

images and annotations into the upload space.

To learn more about Amazon's related hosted cloud training service, see our full breakdown of Amazon Rekognition Custom Labels.

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

Sagemaker GroundTruth Manifest

format to

OpenAI CLIP Classification

format!

Next Steps

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:

OpenAI CLIP

CLIP (Contrastive Language-Image Pre-Training) is an impressive multimodal zero-shot image classifier that achieves impressive results in a wide range of domains with no fine-tuning. It applies the recent advancements in large-scale transformers like GPT-3 to the vision arena.