Struct rusoto_rekognition::Gender

pub struct Gender {
    pub confidence: Option<f32>,
    pub value: Option<String>,
}

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.

Fields

confidence: Option<f32>

Level of confidence in the prediction.

value: Option<String>

The predicted gender of the face.

Trait Implementations

impl Clone for Gender

fn clone(&self) -> Gender

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for Gender

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for Gender

fn default() -> Gender

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for Gender

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error> where
    __D: Deserializer<'de>, 

Deserialize this value from the given Serde deserializer.

impl PartialEq<Gender> for Gender

fn eq(&self, other: &Gender) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Gender) -> bool

This method tests for !=.

impl StructuralPartialEq for Gender