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.DatasetSource

Description

Documentation

data DatasetSource Source #

The source that Amazon Rekognition Custom Labels uses to create a dataset. To use an Amazon Sagemaker format manifest file, specify the S3 bucket location in the GroundTruthManifest field. The S3 bucket must be in your AWS account. To create a copy of an existing dataset, specify the Amazon Resource Name (ARN) of an existing dataset in DatasetArn.

You need to specify a value for DatasetArn or GroundTruthManifest, but not both. if you supply both values, or if you don't specify any values, an InvalidParameterException exception occurs.

For more information, see CreateDataset.

See: newDatasetSource smart constructor.

Constructors

DatasetSource'
Fields datasetArn :: Maybe Text The ARN of an Amazon Rekognition Custom Labels dataset that you want to copy. groundTruthManifest :: Maybe GroundTruthManifest

Instances

Instances details

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

newDatasetSource :: DatasetSource Source #

Create a value of DatasetSource 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:datasetArn:DatasetSource', datasetSource_datasetArn - The ARN of an Amazon Rekognition Custom Labels dataset that you want to copy.

$sel:groundTruthManifest:DatasetSource', datasetSource_groundTruthManifest - Undocumented member.

datasetSource_datasetArn :: Lens' DatasetSource (Maybe Text) Source #

The ARN of an Amazon Rekognition Custom Labels dataset that you want to copy.

datasetSource_groundTruthManifest :: Lens' DatasetSource (Maybe GroundTruthManifest) Source #

Undocumented member.