Struct aws_sdk_rekognition::model::DatasetSource

#[non_exhaustive]
pub struct DatasetSource { /* private fields */ }

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.

Implementations

impl DatasetSource

pub fn ground_truth_manifest(&self) -> Option<&GroundTruthManifest>

The S3 bucket that contains an Amazon Sagemaker Ground Truth format manifest file.

pub fn dataset_arn(&self) -> Option<&str>

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

impl DatasetSource

pub fn builder() -> Builder

Creates a new builder-style object to manufacture DatasetSource.

Trait Implementations

impl Clone for DatasetSource

fn clone(&self) -> DatasetSource

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for DatasetSource

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

Formats the value using the given formatter.

impl PartialEq<DatasetSource> for DatasetSource

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

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

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

This method tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for DatasetSource