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Paws::Rekognition::Gender(3) User Contributed Perl Documentation Paws::Rekognition::Gender(3)

Paws::Rekognition::Gender

This class represents one of two things:

Arguments in a call to a service

Use the attributes of this class as arguments to methods. You shouldn't make instances of this class. Each attribute should be used as a named argument in the calls that expect this type of object.

As an example, if Att1 is expected to be a Paws::Rekognition::Gender object:

  $service_obj->Method(Att1 => { Confidence => $value, ..., Value => $value  });

Results returned from an API call

Use accessors for each attribute. If Att1 is expected to be an Paws::Rekognition::Gender object:

  $result = $service_obj->Method(...);
  $result->Att1->Confidence

The predicted gender of a detected face.

Amazon Rekognition makes gender binary (male/female) predictions based on the physical appearance of a face in a particular image. This kind of prediction is not designed to categorize a person’s gender identity, and you shouldn't use Amazon Rekognition to make such a determination. For example, a male actor wearing a long-haired wig and earrings for a role might be predicted as female.

Using Amazon Rekognition to make gender binary predictions is best suited for use cases where aggregate gender distribution statistics need to be analyzed without identifying specific users. For example, the percentage of female users compared to male users on a social media platform.

We don't recommend using gender binary predictions to make decisions that impact an individual's rights, privacy, or access to services.

Level of confidence in the prediction.

The predicted gender of the face.

This class forms part of Paws, describing an object used in Paws::Rekognition

The source code is located here: <https://github.com/pplu/aws-sdk-perl>

Please report bugs to: <https://github.com/pplu/aws-sdk-perl/issues>

2022-06-01 perl v5.40.2

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