[ aws . lookoutvision ]

describe-dataset

Description

Describe an Amazon Lookout for Vision dataset.

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

See also: AWS API Documentation

See ‘aws help’ for descriptions of global parameters.

Synopsis

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

Options

--project-name (string)

The name of the project that contains the dataset that you want to describe.

--dataset-type (string)

The type of the dataset to describe. Specify train to describe the training dataset. Specify test to describe the test dataset. If you have a single dataset project, specify train

--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.

Output

DatasetDescription -> (structure)

The description of the requested dataset.

ProjectName -> (string)

The name of the project that contains the dataset.

DatasetType -> (string)

The type of the dataset. The value train represents a training dataset or single dataset project. The value test represents a test dataset.

CreationTimestamp -> (timestamp)

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

LastUpdatedTimestamp -> (timestamp)

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

Status -> (string)

The status of the dataset.

StatusMessage -> (string)

The status message for the dataset.

ImageStats -> (structure)

Statistics about the images in a dataset.

Total -> (integer)

The total number of images in the dataset.

Labeled -> (integer)

The total number of labeled images.

Normal -> (integer)

The total number of images labeled as normal.

Anomaly -> (integer)

the total number of images labeled as an anomaly.