Amazonka.Rekognition.Types.DatasetChanges

Documentation

data DatasetChanges

Describes updates or additions to a dataset. A Single update or addition is an entry (JSON Line) that provides information about a single image. To update an existing entry, you match the source-ref field of the update entry with the source-ref filed of the entry that you want to update. If the source-ref field doesn't match an existing entry, the entry is added to dataset as a new entry.

See: newDatasetChanges smart constructor.

Constructors

DatasetChanges'

Fields

• groundTruth :: Base64

  A Base64-encoded binary data object containing one or JSON lines that either update the dataset or are additions to the dataset. You change a dataset by calling UpdateDatasetEntries. If you are using an AWS SDK to call UpdateDatasetEntries, you don't need to encode Changes as the SDK encodes the data for you.

  For example JSON lines, see Image-Level labels in manifest files and and Object localization in manifest files in the /Amazon Rekognition Custom Labels Developer Guide/.

Instances

ToJSON DatasetChanges

Defined in Amazonka.Rekognition.Types.DatasetChanges

Methods

toJSON :: DatasetChanges -> Value

toEncoding :: DatasetChanges -> Encoding

toJSONList :: [DatasetChanges] -> Value

toEncodingList :: [DatasetChanges] -> Encoding

Generic DatasetChanges

Defined in Amazonka.Rekognition.Types.DatasetChanges

Associated Types

type Rep DatasetChanges :: Type -> Type

Methods

from :: DatasetChanges -> Rep DatasetChanges x

to :: Rep DatasetChanges x -> DatasetChanges

Read DatasetChanges

Defined in Amazonka.Rekognition.Types.DatasetChanges

Methods

readsPrec :: Int -> ReadS DatasetChanges

readList :: ReadS [DatasetChanges]

readPrec :: ReadPrec DatasetChanges

readListPrec :: ReadPrec [DatasetChanges]

Show DatasetChanges

Defined in Amazonka.Rekognition.Types.DatasetChanges

Methods

showsPrec :: Int -> DatasetChanges -> ShowS

show :: DatasetChanges -> String

showList :: [DatasetChanges] -> ShowS

NFData DatasetChanges

Defined in Amazonka.Rekognition.Types.DatasetChanges

Methods

rnf :: DatasetChanges -> ()

Eq DatasetChanges

Defined in Amazonka.Rekognition.Types.DatasetChanges

Methods

(==) :: DatasetChanges -> DatasetChanges -> Bool

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

Hashable DatasetChanges

Defined in Amazonka.Rekognition.Types.DatasetChanges

Methods

hashWithSalt :: Int -> DatasetChanges -> Int

hash :: DatasetChanges -> Int

type Rep DatasetChanges

Defined in Amazonka.Rekognition.Types.DatasetChanges

type Rep DatasetChanges = D1 ('MetaData "DatasetChanges" "Amazonka.Rekognition.Types.DatasetChanges" "amazonka-rekognition-2.0-EaCrS9R3rWADqefEZvOx5B" 'False) (C1 ('MetaCons "DatasetChanges'" 'PrefixI 'True) (S1 ('MetaSel ('Just "groundTruth") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Base64)))

newDatasetChanges

Arguments

:: ByteString

$sel:groundTruth:DatasetChanges'

-> DatasetChanges

Create a value of DatasetChanges 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:groundTruth:DatasetChanges', datasetChanges_groundTruth - A Base64-encoded binary data object containing one or JSON lines that either update the dataset or are additions to the dataset. You change a dataset by calling UpdateDatasetEntries. If you are using an AWS SDK to call UpdateDatasetEntries, you don't need to encode Changes as the SDK encodes the data for you.

For example JSON lines, see Image-Level labels in manifest files and and Object localization in manifest files in the /Amazon Rekognition Custom Labels Developer Guide/.-- -- Note: This Lens automatically encodes and decodes Base64 data. -- The underlying isomorphism will encode to Base64 representation during -- serialisation, and decode from Base64 representation during deserialisation. -- This Lens accepts and returns only raw unencoded data.

datasetChanges_groundTruth :: Lens' DatasetChanges ByteString

A Base64-encoded binary data object containing one or JSON lines that either update the dataset or are additions to the dataset. You change a dataset by calling UpdateDatasetEntries. If you are using an AWS SDK to call UpdateDatasetEntries, you don't need to encode Changes as the SDK encodes the data for you.

For example JSON lines, see Image-Level labels in manifest files and and Object localization in manifest files in the /Amazon Rekognition Custom Labels Developer Guide/.-- -- Note: This Lens automatically encodes and decodes Base64 data. -- The underlying isomorphism will encode to Base64 representation during -- serialisation, and decode from Base64 representation during deserialisation. -- This Lens accepts and returns only raw unencoded data.