DetectAnomalies - Amazon Lookout for Vision API Reference


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. If the model is an image segmentation model, the response also includes segmentation information for each type of anomaly found in the image.


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.

For more information, see Detecting anomalies in an image.

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

Request Syntax

POST /2020-11-20/projects/projectName/models/modelVersion/detect HTTP/1.1 Content-Type: ContentType Body

URI Request Parameters

The request uses the following URI parameters.


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

Length Constraints: Minimum length of 1. Maximum length of 255.

Pattern: .*

Required: Yes


The version of the model that you want to use.

Length Constraints: Minimum length of 1. Maximum length of 10.

Pattern: ([1-9][0-9]*|latest)

Required: Yes


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

Length Constraints: Minimum length of 1. Maximum length of 255.

Pattern: [a-zA-Z0-9][a-zA-Z0-9_\-]*

Required: Yes

Request Body

The request accepts the following binary data.


The unencrypted image bytes that you want to analyze.

Required: Yes

Response Syntax

HTTP/1.1 200 Content-type: application/json { "DetectAnomalyResult": { "Anomalies": [ { "Name": "string", "PixelAnomaly": { "Color": "string", "TotalPercentageArea": number } } ], "AnomalyMask": blob, "Confidence": number, "IsAnomalous": boolean, "Source": { "Type": "string" } } }

Response Elements

If the action is successful, the service sends back an HTTP 200 response.

The following data is returned in JSON format by the service.


The results of the DetectAnomalies operation.

Type: DetectAnomalyResult object


For information about the errors that are common to all actions, see Common Errors.


You are not authorized to perform the action.

HTTP Status Code: 403


The update or deletion of a resource caused an inconsistent state.

HTTP Status Code: 409


Amazon Lookout for Vision experienced a service issue. Try your call again.

HTTP Status Code: 500


The resource could not be found.

HTTP Status Code: 404


Amazon Lookout for Vision is temporarily unable to process the request. Try your call again.

HTTP Status Code: 429


An input validation error occured. For example, invalid characters in a project name, or if a pagination token is invalid.

HTTP Status Code: 400

See Also

For more information about using this API in one of the language-specific AWS SDKs, see the following: