Step 3: Set up permissions - Amazon Lookout for Vision

Step 3: Set up permissions

The Identity and Access Management (IAM) user or group that uses Amazon Lookout for Vision console and SDK operations needs access permissions to the Lookout for Vision console, SDK operations, and the Amazon S3 bucket that you use for model training.

Note

If you only use Lookout for Vision SDK operations, you can use policies that are scoped to Lookout for Vision SDK operations. For more information, see Step 6: Set up SDK permissions.

Set console access with AWS managed policies

Use the following AWS managed policies to apply appropriate access permissions for the Amazon Lookout for Vision console and SDK operations.

To allow access to the Lookout for Vision console and SDK operations, add the desired managed policy to the IAM user or group that needs access. For more information, see Changing permissions for an IAM user.

For information about AWS managed policies, see AWS managed policies.

Set Amazon S3 bucket permissions

Amazon Lookout for Vision uses an Amazon S3 bucket to store the following files:

If you use the console, Lookout for Vision creates an Amazon S3 bucket (console bucket) to manage your projects. The LookoutVisionConsoleReadOnlyAccess and LookoutVisionConsoleFullAccess managed policies include Amazon S3 access permissions for the console bucket.

You can use the console bucket to store dataset images and SageMaker Ground Truth format manifest files. Alternatively, You can use a different Amazon S3 bucket. The bucket must be owned by your AWS account and must be located in the AWS Region in which you are using Lookout for Vision.

To use a different bucket, add the following inline policy to the desired IAM user or group. Replace my-bucket with the name of the desired bucket. For information about adding IAM policies, see Creating IAM Policies.

{ "Version": "2012-10-17", "Statement": [ { "Sid": "LookoutVisionS3BucketAccessPermissions", "Effect": "Allow", "Action": [ "s3:GetBucketLocation", "s3:ListBucket" ], "Resource": [ "arn:aws:s3:::my-bucket" ] }, { "Sid": "LookoutVisionS3ObjectAccessPermissions", "Effect": "Allow", "Action": [ "s3:GetObject", "s3:GetObjectVersion", "s3:PutObject" ], "Resource": [ "arn:aws:s3:::my-bucket/*" ] } ] }

Next: Step 4: Create the console bucket