[ aws . rekognition ]



Gets the unsafe content analysis results for a Amazon Rekognition Video analysis started by StartContentModeration .

Unsafe content analysis of a video is an asynchronous operation. You start analysis by calling StartContentModeration which returns a job identifier (JobId ). When analysis finishes, Amazon Rekognition Video publishes a completion status to the Amazon Simple Notification Service topic registered in the initial call to StartContentModeration . To get the results of the unsafe content analysis, first check that the status value published to the Amazon SNS topic is SUCCEEDED . If so, call GetContentModeration and pass the job identifier (JobId ) from the initial call to StartContentModeration .

For more information, see Working with Stored Videos in the Amazon Rekognition Devlopers Guide.

GetContentModeration returns detected unsafe content labels, and the time they are detected, in an array, ModerationLabels , of ContentModerationDetection objects.

By default, the moderated labels are returned sorted by time, in milliseconds from the start of the video. You can also sort them by moderated label by specifying NAME for the SortBy input parameter.

Since video analysis can return a large number of results, use the MaxResults parameter to limit the number of labels returned in a single call to GetContentModeration . If there are more results than specified in MaxResults , the value of NextToken in the operation response contains a pagination token for getting the next set of results. To get the next page of results, call GetContentModeration and populate the NextToken request parameter with the value of NextToken returned from the previous call to GetContentModeration .

For more information, see Detecting Unsafe Content in the Amazon Rekognition Developer Guide.

See also: AWS API Documentation

See ‘aws help’ for descriptions of global parameters.


--job-id <value>
[--max-results <value>]
[--next-token <value>]
[--sort-by <value>]
[--cli-input-json | --cli-input-yaml]
[--generate-cli-skeleton <value>]
[--cli-auto-prompt <value>]


--job-id (string)

The identifier for the unsafe content job. Use JobId to identify the job in a subsequent call to GetContentModeration .

--max-results (integer)

Maximum number of results to return per paginated call. The largest value you can specify is 1000. If you specify a value greater than 1000, a maximum of 1000 results is returned. The default value is 1000.

--next-token (string)

If the previous response was incomplete (because there is more data to retrieve), Amazon Rekognition returns a pagination token in the response. You can use this pagination token to retrieve the next set of unsafe content labels.

--sort-by (string)

Sort to use for elements in the ModerationLabelDetections array. Use TIMESTAMP to sort array elements by the time labels are detected. Use NAME to alphabetically group elements for a label together. Within each label group, the array element are sorted by detection confidence. The default sort is by TIMESTAMP .

Possible values:

  • NAME


--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.

--cli-auto-prompt (boolean) Automatically prompt for CLI input parameters.

See ‘aws help’ for descriptions of global parameters.


To get the results of an unsafe content operation

The following get-content-moderation command displays the results of an unsafe content operation that you started previously by calling start-content-moderation.

aws rekognition get-content-moderation \
    --job-id 1234567890abcdef1234567890abcdef1234567890abcdef1234567890abcdef


    "NextToken": "dlhcKMHMzpCBGFukz6IO3JMcWiJAamCVhXHt3r6b4b5Tfbyw3q7o+Jeezt+ZpgfOnW9FCCgQ",
    "ModerationLabels": [
            "Timestamp": 0,
            "ModerationLabel": {
                "Confidence": 97.39583587646484,
                "ParentName": "",
                "Name": "Violence"
            "Timestamp": 0,
            "ModerationLabel": {
                "Confidence": 97.39583587646484,
                "ParentName": "Violence",
                "Name": "Weapon Violence"
    "JobStatus": "SUCCEEDED",
    "VideoMetadata": {
        "Format": "QuickTime / MOV",
        "FrameRate": 29.97515869140625,
        "Codec": "h264",
        "DurationMillis": 6039,
        "FrameHeight": 1920,
        "FrameWidth": 1080

For more information, see Detecting Unsafe Stored Videos in the Amazon Rekognition Developer Guide.


JobStatus -> (string)

The current status of the unsafe content analysis job.

StatusMessage -> (string)

If the job fails, StatusMessage provides a descriptive error message.

VideoMetadata -> (structure)

Information about a video that Amazon Rekognition analyzed. Videometadata is returned in every page of paginated responses from GetContentModeration .

Codec -> (string)

Type of compression used in the analyzed video.

DurationMillis -> (long)

Length of the video in milliseconds.

Format -> (string)

Format of the analyzed video. Possible values are MP4, MOV and AVI.

FrameRate -> (float)

Number of frames per second in the video.

FrameHeight -> (long)

Vertical pixel dimension of the video.

FrameWidth -> (long)

Horizontal pixel dimension of the video.

ModerationLabels -> (list)

The detected unsafe content labels and the time(s) they were detected.


Information about an unsafe content label detection in a stored video.

Timestamp -> (long)

Time, in milliseconds from the beginning of the video, that the unsafe content label was detected.

ModerationLabel -> (structure)

The unsafe content label detected by in the stored video.

Confidence -> (float)

Specifies the confidence that Amazon Rekognition has that the label has been correctly identified.

If you don’t specify the MinConfidence parameter in the call to DetectModerationLabels , the operation returns labels with a confidence value greater than or equal to 50 percent.

Name -> (string)

The label name for the type of unsafe content detected in the image.

ParentName -> (string)

The name for the parent label. Labels at the top level of the hierarchy have the parent label "" .

NextToken -> (string)

If the response is truncated, Amazon Rekognition Video returns this token that you can use in the subsequent request to retrieve the next set of unsafe content labels.

ModerationModelVersion -> (string)

Version number of the moderation detection model that was used to detect unsafe content.