Amazon Rekognition launches tagging support for collections, stream processors, and Custom Labels
You can now assign tags to Amazon Rekognition resources such as collections, stream processors, and Custom Labels models. Tags are key value pairs which enable you to control access to your AWS resources. You can easily identify, classify, or categorize your Amazon Rekognition resources as you create them, giving you a convenient way to ensure that your Amazon Rekognition resources have the right level of access control. You can also assign user-defined cost allocation tags to Amazon Rekognition Custom Labels models, making it easier for you to categorize and track your AWS costs.
You can now assign tags to Amazon Rekognition resources such as collections, stream processors, and Custom Labels models. Tags are key value pairs which enable you to control access to your AWS resources. You can easily identify, classify, or categorize your Amazon Rekognition resources as you create them, giving you a convenient way to ensure that your Amazon Rekognition resources have the right level of access control. You can also assign user-defined cost allocation tags to Amazon Rekognition Custom Labels models, making it easier for you to categorize and track your AWS costs.
To learn more about how to tag Amazon Rekognition collections, stream processors, and Custom Labels models, see the Amazon Rekognition API reference guide.
Tagging resources is supported in all AWS regions where Amazon Rekognition is offered. There is no charge to use the Amazon Rekognition tagging feature. To learn more about Amazon Rekognition, please visit the Amazon Rekognition website.