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[ aws . rekognition ]

start-label-detection

Description

Starts asynchronous detection of labels in a stored video.

Rekognition video can detect labels in a video. Labels are instances of real-world entities. This includes objects like flower, tree, and table; events like wedding, graduation, and birthday party; concepts like landscape, evening, and nature; and activities like a person getting out of a car or a person skiing.

The video must be stored in an Amazon S3 bucket. Use video to specify the bucket name and the filename of the video. start-label-detection returns a job identifier (JobId ) which you use to get the results of the operation. When label detection is finished, Rekognition video publishes a completion status to the Amazon Simple Notification Service topic that you specify in notification-channel .

To get the results of the label detection operation, first check that the status value published to the Amazon SNS topic is SUCCEEDED . If so, call and pass the job identifier (JobId ) from the initial call to start-label-detection .

See also: AWS API Documentation

See 'aws help' for descriptions of global parameters.

Synopsis

  start-label-detection
--video <value>
[--client-request-token <value>]
[--min-confidence <value>]
[--notification-channel <value>]
[--job-tag <value>]
[--cli-input-json <value>]
[--generate-cli-skeleton <value>]

Options

--video (structure)

The video in which you want to detect labels. The video must be stored in an Amazon S3 bucket.

Shorthand Syntax:

S3Object={Bucket=string,Name=string,Version=string}

JSON Syntax:

{
  "S3Object": {
    "Bucket": "string",
    "Name": "string",
    "Version": "string"
  }
}

--client-request-token (string)

Idempotent token used to identify the start request. If you use the same token with multiple start-label-detection requests, the same JobId is returned. Use client-request-token to prevent the same job from being accidently started more than once.

--min-confidence (float)

Specifies the minimum confidence that Rekognition video must have in order to return a detected label. Confidence represents how certain Amazon Rekognition is that a label is correctly identified.0 is the lowest confidence. 100 is the highest confidence. Rekognition video doesn't return any labels with a confidence level lower than this specified value.

If you don't specify MinConfidence , the operation returns labels with confidence values greater than or equal to 50 percent.

--notification-channel (structure)

The Amazon SNS topic ARN you want Rekognition video to publish the completion status of the label detection operation to.

Shorthand Syntax:

SNSTopicArn=string,RoleArn=string

JSON Syntax:

{
  "SNSTopicArn": "string",
  "RoleArn": "string"
}

--job-tag (string)

Unique identifier you specify to identify the job in the completion status published to the Amazon Simple Notification Service topic.

--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.

--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.

See 'aws help' for descriptions of global parameters.

Output

JobId -> (string)

The identifier for the label detection job. Use JobId to identify the job in a subsequent call to get-label-detection .