<p>Detects anomalies in an image that you supply. </p> <p>The response from <code>DetectAnomalies</code> 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.</p> <note> <p>Before calling <code>DetectAnomalies</code>, you must first start your model with the <a>StartModel</a> 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 <a>StopModel</a> operation to stop your model. </p> </note> <p>For more information, see <i>Detecting anomalies in an image</i> in the Amazon Lookout for Vision developer guide.</p> <p>This operation requires permissions to perform the <code>lookoutvision:DetectAnomalies</code> operation.</p>

{
  "success": true,
  "data": {
    "id": "abc123",
    "created_at": "2025-01-01T00:00:00Z"
  }
}

{
  "success": false,
  "error": {
    "code": "VALIDATION_ERROR",
    "message": "Invalid request parameters"
  }
}