rekognition_create_dataset: Creates a new Amazon Rekognition Custom Labels dataset

View source: R/rekognition_operations.R

rekognition_create_datasetR Documentation

Creates a new Amazon Rekognition Custom Labels dataset

Description

Creates a new Amazon Rekognition Custom Labels dataset. You can create a dataset by using an Amazon Sagemaker format manifest file or by copying an existing Amazon Rekognition Custom Labels dataset.

See https://www.paws-r-sdk.com/docs/rekognition_create_dataset/ for full documentation.

Usage

rekognition_create_dataset(DatasetSource = NULL, DatasetType, ProjectArn)

Arguments

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 update_dataset_entries.

DatasetType

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

ProjectArn

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


paws.machine.learning documentation built on Sept. 12, 2023, 1:14 a.m.