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[ aws . lookoutvision ]



Detects anomalies in an image that you supply.

The response from DetectAnomalies includes a boolean prediction that the image contains one or more anomalies and a confidence value for the prediction.


Before calling DetectAnomalies , you must first start your model with the StartModel operation. You are charged for the amount of time, in minutes, that a model runs and for the number of anomaly detection units that your model uses. If you are not using a model, use the StopModel operation to stop your model.

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

See also: AWS API Documentation

See 'aws help' for descriptions of global parameters.


--project-name <value>
--model-version <value>
--body <value>
--content-type <value>
[--cli-input-json <value>]
[--generate-cli-skeleton <value>]


--project-name (string)

The name of the project that contains the model version that you want to use.

--model-version (string)

The version of the model that you want to use.

--body (blob)

The unencrypted image bytes that you want to analyze.

--content-type (string)

The type of the image passed in Body . Valid values are image/png (PNG format images) and image/jpeg (JPG format images).

--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.

See 'aws help' for descriptions of global parameters.


DetectAnomalyResult -> (structure)

The results of the DetectAnomalies operation.

Source -> (structure)

The source of the image that was analyzed. direct means that the images was supplied from the local computer. No other values are supported.

Type -> (string)

The type of the image.

IsAnomalous -> (boolean)

True if the image contains an anomaly, otherwise false.

Confidence -> (float)

The confidence that Amazon Lookout for Vision has in the accuracy of the prediction.