Copyright	(c) 2013-2023 Brendan Hay
License	Mozilla Public License, v. 2.0.
Maintainer	Brendan Hay
Stability	auto-generated
Portability	non-portable (GHC extensions)
Safe Haskell	Safe-Inferred
Language	Haskell2010

Amazonka.Rekognition.Types.HumanLoopDataAttributes

Description

Synopsis

Documentation

data HumanLoopDataAttributes Source #

Allows you to set attributes of the image. Currently, you can declare an image as free of personally identifiable information.

See: newHumanLoopDataAttributes smart constructor.

Constructors

HumanLoopDataAttributes'
Fields contentClassifiers :: Maybe [ContentClassifier] Sets whether the input image is free of personally identifiable information.

Instances

Instances details

ToJSON HumanLoopDataAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.HumanLoopDataAttributes Methods toJSON :: HumanLoopDataAttributes -> Value # toEncoding :: HumanLoopDataAttributes -> Encoding # toJSONList :: [HumanLoopDataAttributes] -> Value # toEncodingList :: [HumanLoopDataAttributes] -> Encoding #
Generic HumanLoopDataAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.HumanLoopDataAttributes Associated Types type Rep HumanLoopDataAttributes :: Type -> Type # Methods from :: HumanLoopDataAttributes -> Rep HumanLoopDataAttributes x # to :: Rep HumanLoopDataAttributes x -> HumanLoopDataAttributes #
Read HumanLoopDataAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.HumanLoopDataAttributes Methods readsPrec :: Int -> ReadS HumanLoopDataAttributes # readList :: ReadS [HumanLoopDataAttributes] # readPrec :: ReadPrec HumanLoopDataAttributes # readListPrec :: ReadPrec [HumanLoopDataAttributes] #
Show HumanLoopDataAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.HumanLoopDataAttributes Methods showsPrec :: Int -> HumanLoopDataAttributes -> ShowS # show :: HumanLoopDataAttributes -> String # showList :: [HumanLoopDataAttributes] -> ShowS #
NFData HumanLoopDataAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.HumanLoopDataAttributes Methods rnf :: HumanLoopDataAttributes -> () #
Eq HumanLoopDataAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.HumanLoopDataAttributes Methods (==) :: HumanLoopDataAttributes -> HumanLoopDataAttributes -> Bool # (/=) :: HumanLoopDataAttributes -> HumanLoopDataAttributes -> Bool #
Hashable HumanLoopDataAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.HumanLoopDataAttributes Methods hashWithSalt :: Int -> HumanLoopDataAttributes -> Int # hash :: HumanLoopDataAttributes -> Int #
type Rep HumanLoopDataAttributes Source #
Instance details Defined in Amazonka.Rekognition.Types.HumanLoopDataAttributes type Rep HumanLoopDataAttributes = D1 ('MetaData "HumanLoopDataAttributes" "Amazonka.Rekognition.Types.HumanLoopDataAttributes" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "HumanLoopDataAttributes'" 'PrefixI 'True) (S1 ('MetaSel ('Just "contentClassifiers") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [ContentClassifier]))))

newHumanLoopDataAttributes :: HumanLoopDataAttributes Source #

Create a value of HumanLoopDataAttributes with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:contentClassifiers:HumanLoopDataAttributes', humanLoopDataAttributes_contentClassifiers - Sets whether the input image is free of personally identifiable information.

humanLoopDataAttributes_contentClassifiers :: Lens' HumanLoopDataAttributes (Maybe [ContentClassifier]) Source #

Sets whether the input image is free of personally identifiable information.