DetectModerationLabelsRequest
¶
Source code in docs_src/capo_rekognition/types/detect_moderation_labels_request.py
human_loop_config
instance-attribute
¶
human_loop_config: NotRequired[HumanLoopConfig]
Sets up the configuration for human evaluation, including the FlowDefinition the image will be sent to.
image
instance-attribute
¶
image: Image
The input image as base64-encoded bytes or an S3 object. If you use the AWS CLI to call Amazon Rekognition operations, passing base64-encoded image bytes is not supported.
If you are using an AWS SDK to call Amazon Rekognition, you might not need to base64-encode image bytes passed using the Bytes field. For more information, see Images in the Amazon Rekognition developer guide.
min_confidence
instance-attribute
¶
min_confidence: NotRequired[Percent]
Specifies the minimum confidence level for the labels to return. Amazon Rekognition 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.
project_version
instance-attribute
¶
project_version: NotRequired[ProjectVersionId]
Identifier for the custom adapter. Expects the ProjectVersionArn as a value. Use the CreateProject or CreateProjectVersion APIs to create a custom adapter.