# Creating a project version


You can train an adapter for deployment by using the [CreateProjectVersion](https://docs.aws.amazon.com/rekognition/latest/APIReference/API_CreateProjectVersion.html) operation. CreateProjectVersion first creates a new version of an adapter associated with a project and then begins training the adapter. The response from CreateProjectVersion is an Amazon Resource Name (ARN) for the version of the model. Training takes a while to complete. You can get the current status by calling DescribeProjectVersions. When training a model, Rekognition uses the training and test datasets associated with the project. You create datasets using the console. For more information, see the section on datasets. 

 To create a project version with the Rekognition console: 
+  Sign into the AWS Rekognition Console 
+  Click on Custom Moderation 
+  Select a project. 
+  On the “Project detail” page, choose **Create adapter** 
+  On the “Create a project" page, fill in the required details for Project Details, Training images, and Testing images, then select **Create project** . 
+  On the “Assign labels to images” page, add labels to your images and when finished select ** Start training ** 

To create a project version with the AWS CLI and SDK:

1. If you haven't already done so, install and configure the AWS CLI and the AWS SDKs. For more information, see [Step 2: Set up the AWS CLI and AWS SDKs](setup-awscli-sdk.md) .

1. Use the following code to create a project version: 

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#### [ CLI ]

```
# Request
aws rekognition create-project-version \
 --project-arn project-arn \
 --training-data '{Assets=[GroundTruthManifest={S3Object="amzn-s3-demo-source-bucket",Name="manifest.json"}]}' \
 --output-config S3Bucket=amzn-s3-demo-destination-bucket,S3KeyPrefix=my-results \
 --feature-config "ContentModeration={ConfidenceThreshold=70}"
 --profile profile-name
```

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