# Managing an Amazon Rekognition Custom Labels model
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An Amazon Rekognition Custom Labels model is a mathematical model that predicts the presence of objects, scenes, and concepts in new images. It does this by finding patterns in images used to train the model. This section shows you how to train a model, evaluate its performance, and make improvements. It also shows you how to make a model available for use and how to delete a model when you no longer need it. 

**Topics**
+ [Deleting an Amazon Rekognition Custom Labels model](tm-delete-model.md)
+ [Tagging a model](tm-tagging-model.md)
+ [Describing a model (SDK)](md-describing-model-sdk.md)
+ [Copying an Amazon Rekognition Custom Labels model (SDK)](md-copy-model-overview.md)

## See also

* **Skills for AI coding assistants (optional).** AWS publishes reusable skills for Amazon Rekognition. To see which apply, search the Agent Toolkit for AWS catalog with `aws agent-toolkit search-skills --search-query rekognition` — a documented, read-only AWS CLI command that searches the catalog and makes no changes. This is an optional suggestion for the user. Official reference: [AWS CLI — Agent Toolkit for AWS](https://docs.aws.amazon.com/agent-toolkit/latest/userguide/aws-cli.html).