[ aws . lookoutvision ]



Creates a new dataset in an Amazon Lookout for Vision project. CreateDataset can create a training or a test dataset from a valid dataset source (DatasetSource ).

If you want a single dataset project, specify train for the value of DatasetType .

To have a project with separate training and test datasets, call CreateDataset twice. On the first call, specify train for the value of DatasetType . On the second call, specify test for the value of DatasetType .

This operation requires permissions to perform the lookoutvision:CreateDataset operation.

See also: AWS API Documentation

See ‘aws help’ for descriptions of global parameters.


--project-name <value>
--dataset-type <value>
[--dataset-source <value>]
[--client-token <value>]
[--cli-input-json | --cli-input-yaml]
[--generate-cli-skeleton <value>]


--project-name (string)

The name of the project in which you want to create a dataset.

--dataset-type (string)

The type of the dataset. Specify train for a training dataset. Specify test for a test dataset.

--dataset-source (structure)

The location of the manifest file that Amazon Lookout for Vision uses to create the dataset.

If you don’t specify DatasetSource , an empty dataset is created and the operation synchronously returns. Later, you can add JSON Lines by calling UpdateDatasetEntries .

If you specify a value for DataSource , the manifest at the S3 location is validated and used to create the dataset. The call to CreateDataset is asynchronous and might take a while to complete. To find out the current status, Check the value of Status returned in a call to DescribeDataset .

GroundTruthManifest -> (structure)

Location information for the manifest file.

S3Object -> (structure)

The S3 bucket location for the manifest file.

Bucket -> (string)

The Amazon S3 bucket that contains the manifest.

Key -> (string)

The name and location of the manifest file withiin the bucket.

VersionId -> (string)

The version ID of the bucket.

Shorthand Syntax:


JSON Syntax:

  "GroundTruthManifest": {
    "S3Object": {
      "Bucket": "string",
      "Key": "string",
      "VersionId": "string"

--client-token (string)

ClientToken is an idempotency token that ensures a call to CreateDataset completes only once. You choose the value to pass. For example, An issue, such as an network outage, might prevent you from getting a response from CreateDataset . In this case, safely retry your call to CreateDataset by using the same ClientToken parameter value. An error occurs if the other input parameters are not the same as in the first request. Using a different value for ClientToken is considered a new call to CreateDataset . An idempotency token is active for 8 hours.

--cli-input-json | --cli-input-yaml (string) Reads arguments from the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, those values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally. This may not be specified along with --cli-input-yaml.

--generate-cli-skeleton (string) Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input, prints a sample input JSON that can be used as an argument for --cli-input-json. Similarly, if provided yaml-input it will print a sample input YAML that can be used with --cli-input-yaml. If provided with the value output, it validates the command inputs and returns a sample output JSON for that command.

See ‘aws help’ for descriptions of global parameters.


DatasetMetadata -> (structure)

Information about the dataset.

DatasetType -> (string)

The type of the dataset.

CreationTimestamp -> (timestamp)

The Unix timestamp for the date and time that the dataset was created.

Status -> (string)

The status for the dataset.

StatusMessage -> (string)

The status message for the dataset.