aws lookoutvision create-dataset

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

Options

NameDescription
--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
--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 <string>Performs service operation based on the JSON string provided. The JSON string follows the format provided by ``--generate-cli-skeleton``. If other arguments are provided on the command line, the CLI 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
--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``. If provided with the value ``output``, it validates the command inputs and returns a sample output JSON for that command