Struct aws_sdk_rekognition::model::DatasetChanges

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

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.

Implementations

impl DatasetChanges

pub fn ground_truth(&self) -> Option<&Blob>

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.

impl DatasetChanges

pub fn builder() -> Builder

Creates a new builder-style object to manufacture DatasetChanges.

Trait Implementations

impl Clone for DatasetChanges

fn clone(&self) -> DatasetChanges

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for DatasetChanges

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

Formats the value using the given formatter.

impl PartialEq<DatasetChanges> for DatasetChanges

fn eq(&self, other: &DatasetChanges) -> 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 DatasetChanges