# How it works

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This page was generated from content adapted from the [AWS Developer Guide](https://github.com/awsdocs/amazon-rekognition-developer-guide.git)
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## Types of analysis

* **Note**\
  For information about Amazon Rekognition Custom Labels, see the [Amazon Rekognition Custom Labels Developer Guide](https://docs.aws.amazon.com/rekognition/latest/customlabels-dg/what-is.html).

## Non-storage and storage API operations

* **Note**\
  The service does not persist actual image bytes. Instead, the underlying detection algorithm first detects the faces in the input image, extracts facial features into a feature vector for each face, and then stores it in the database. Amazon Rekognition uses these feature vectors when performing face matches.