rekognition/aws.sdk.kotlin.services.rekognition.model/CreateDatasetRequest

CreateDatasetRequest

class CreateDatasetRequest

Types

Builder

class Builder

Companion

object Companion

Properties

datasetSource

val datasetSource: DatasetSource?

The source files for the dataset. You can specify the ARN of an existing dataset or specify the Amazon S3 bucket location of an Amazon Sagemaker format manifest file. If you don't specify datasetSource, an empty dataset is created. To add labeled images to the dataset, You can use the console or call UpdateDatasetEntries.

datasetType

val datasetType: DatasetType?

The type of the dataset. Specify TRAIN to create a training dataset. Specify TEST to create a test dataset.

projectArn

val projectArn: String?

The ARN of the Amazon Rekognition Custom Labels project to which you want to asssign the dataset.

Functions

copy

inline fun copy(block: CreateDatasetRequest.Builder.() -> Unit = {}): CreateDatasetRequest

equals

open operator override fun equals(other: Any?): Boolean

hashCode

open override fun hashCode(): Int

toString

open override fun toString(): String