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Manage labeling requests with an Amazon SQS queue - Amazon SageMaker AI

Manage labeling requests with an Amazon SQS queue

Note

After careful consideration, we have made the decision to close new customer access to AWS Ground Truth, effective 7/30/26. Existing customers can continue to use the service as normal. AWS continues to invest in security and availability improvements for Ground Truth, but we do not plan to introduce new features.

When Ground Truth creates your streaming labeling job, it creates an Amazon SQS queue in the AWS account used to create the labeling job. The queue name is GroundTruth-labeling_job_name where labeling_job_name is the name of your labeling job, in lowercase letters. When you send data objects to your labeling job, Ground Truth either sends the data objects directly to workers or places the task in your queue to be processed at a later time. If a data object is not sent to a worker after 14 days, it expires and is removed from the queue. You can setup an alarm in Amazon SQS to detect when objects expire and use this mechanism to control the volume of objects you send to your labeling job.

Important

Modifying, deleting, or sending objects directly to the Amazon SQS queue associated with your streaming labeling job may lead to job failures.