Amazon Augmented AI Sample Notebooks

This repository contains sample Jupyter notebooks for Amazon Augmented AI (A2I).

Amazon Augmented AI (Amazon A2I) makes it easy to build the workflows required for human review of ML predictions. Amazon A2I brings human review to all developers, removing the undifferentiated heavy lifting associated with building human review systems or managing large numbers of human reviewers.

Check out our more than 70 prebuilt UIs, here: https://github.com/aws-samples/amazon-a2i-sample-task-uis

Available Notebooks

Use Amazon Augmented AI (A2I) with Amazon Transcribe Custom Vocabularies to Improve Video Transcriptions

Amazon Augmented AI (A2I) and Amazon Translate

Amazon Augmented AI (A2I) and Amazon Comprehend DetectSentiment

Amazon A2I with Amazon SageMaker Model Monitor

Amazon A2I with Amazon Rekognition Custom Labels

Amazon Augmented AI (A2I) and Amazon Rekognition DetectModerationLabels

Amazon A2I with Amazon SageMaker for object detection and model retraining

Amazon Augmented AI (A2I) and Amazon Textract AnalyzeDocument

Amazon Augmented AI (A2I) Integration with tabular data

License Summary

This sample code is made available under the MIT-0 license. See the LICENSE file.