AWS SDK Version 3 for .NET
API Reference

AWS services or capabilities described in AWS Documentation may vary by region/location. Click Getting Started with Amazon AWS to see specific differences applicable to the China (Beijing) Region.

Classes

NameDescription
Class AmazonAugmentedAIRuntimeClient

Implementation for accessing AugmentedAIRuntime Amazon Augmented AI (Augmented AI) (Preview) is a service that adds human judgment to any machine learning application. Human reviewers can take over when an AI application can't evaluate data with a high degree of confidence.

From fraudulent bank transaction identification to document processing to image analysis, machine learning models can be trained to make decisions as well as or better than a human. Nevertheless, some decisions require contextual interpretation, such as when you need to decide whether an image is appropriate for a given audience. Content moderation guidelines are nuanced and highly dependent on context, and they vary between countries. When trying to apply AI in these situations, you can be forced to choose between "ML only" systems with unacceptably high error rates or "human only" systems that are expensive and difficult to scale, and that slow down decision making.

This API reference includes information about API actions and data types you can use to interact with Augmented AI programmatically.

You can create a flow definition against the Augmented AI API. Provide the Amazon Resource Name (ARN) of a flow definition to integrate AI service APIs, such as Textract.AnalyzeDocument and Rekognition.DetectModerationLabels. These AI services, in turn, invoke the StartHumanLoop API, which evaluates conditions under which humans will be invoked. If humans are required, Augmented AI creates a human loop. Results of human work are available asynchronously in Amazon Simple Storage Service (Amazon S3). You can use Amazon CloudWatch Events to detect human work results.

You can find additional Augmented AI API documentation in the following reference guides: Amazon Rekognition, Amazon SageMaker, and Amazon Textract.

Class AmazonAugmentedAIRuntimeConfig

Configuration for accessing Amazon AugmentedAIRuntime service

Class AmazonAugmentedAIRuntimeException

Common exception for the AugmentedAIRuntime service.

Class AmazonAugmentedAIRuntimeRequest

Base class for AugmentedAIRuntime operation requests.

Class ContentClassifier

Constants used for properties of type ContentClassifier.

Class HumanLoopStatus

Constants used for properties of type HumanLoopStatus.

Class SortOrder

Constants used for properties of type SortOrder.

Interfaces

NameDescription
Interface IAmazonAugmentedAIRuntime

Interface for accessing AugmentedAIRuntime Amazon Augmented AI (Augmented AI) (Preview) is a service that adds human judgment to any machine learning application. Human reviewers can take over when an AI application can't evaluate data with a high degree of confidence.

From fraudulent bank transaction identification to document processing to image analysis, machine learning models can be trained to make decisions as well as or better than a human. Nevertheless, some decisions require contextual interpretation, such as when you need to decide whether an image is appropriate for a given audience. Content moderation guidelines are nuanced and highly dependent on context, and they vary between countries. When trying to apply AI in these situations, you can be forced to choose between "ML only" systems with unacceptably high error rates or "human only" systems that are expensive and difficult to scale, and that slow down decision making.

This API reference includes information about API actions and data types you can use to interact with Augmented AI programmatically.

You can create a flow definition against the Augmented AI API. Provide the Amazon Resource Name (ARN) of a flow definition to integrate AI service APIs, such as Textract.AnalyzeDocument and Rekognition.DetectModerationLabels. These AI services, in turn, invoke the StartHumanLoop API, which evaluates conditions under which humans will be invoked. If humans are required, Augmented AI creates a human loop. Results of human work are available asynchronously in Amazon Simple Storage Service (Amazon S3). You can use Amazon CloudWatch Events to detect human work results.

You can find additional Augmented AI API documentation in the following reference guides: Amazon Rekognition, Amazon SageMaker, and Amazon Textract.