Amazonka.Rekognition.Types.DatasetSource

Documentation

data DatasetSource

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

ToJSON DatasetSource

Defined in Amazonka.Rekognition.Types.DatasetSource

Methods

toJSON :: DatasetSource -> Value

toEncoding :: DatasetSource -> Encoding

toJSONList :: [DatasetSource] -> Value

toEncodingList :: [DatasetSource] -> Encoding

Generic DatasetSource

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

Defined in Amazonka.Rekognition.Types.DatasetSource

Methods

readsPrec :: Int -> ReadS DatasetSource

readList :: ReadS [DatasetSource]

readPrec :: ReadPrec DatasetSource

readListPrec :: ReadPrec [DatasetSource]

Show DatasetSource

Defined in Amazonka.Rekognition.Types.DatasetSource

Methods

showsPrec :: Int -> DatasetSource -> ShowS

show :: DatasetSource -> String

showList :: [DatasetSource] -> ShowS

NFData DatasetSource

Defined in Amazonka.Rekognition.Types.DatasetSource

Methods

rnf :: DatasetSource -> ()

Eq DatasetSource

Defined in Amazonka.Rekognition.Types.DatasetSource

Methods

(==) :: DatasetSource -> DatasetSource -> Bool

(/=) :: DatasetSource -> DatasetSource -> Bool

Hashable DatasetSource

Defined in Amazonka.Rekognition.Types.DatasetSource

Methods

hashWithSalt :: Int -> DatasetSource -> Int

hash :: DatasetSource -> Int

type Rep DatasetSource

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

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)

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

datasetSource_groundTruthManifest :: Lens' DatasetSource (Maybe GroundTruthManifest)

Undocumented member.