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Improving Content Moderation with Amazon Rekognition Bulk Analysis and Custom Moderation

AWS Machine Learning

Amazon Rekognition includes a simple, easy-to-use API that can quickly analyze any image or video file that’s stored in Amazon Simple Storage Service (Amazon S3). adds 26 new moderation labels and expands the moderation label taxonomy from a two-tier to a three-tier label category. Graphic Violence L2 92.6% Explosions and Blasts L3 92.6%

APIs 104
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Moderate your Amazon IVS live stream using Amazon Rekognition

AWS Machine Learning

In this post, we explain the common practice of live stream visual moderation with a solution that uses the Amazon Rekognition Image API to moderate live streams. A rules engine evaluates moderation guidelines, determining the frequency of stream sampling and the applicable moderation categories, all within predefined policies.

APIs 88
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Amazon Rekognition Labels adds 600 new labels, including landmarks, and now detects dominant colors

AWS Machine Learning

Lastly, Amazon Rekognition Labels now organizes label results using two additional fields, aliases and categories , and supports filtering of those results. The following table shows the labels and confidence scores returned in the API response. The maximum number of dominant colors the API can return is 12. New labels.

APIs 68
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Announcing Rekogniton Custom Moderation: Enhance accuracy of pre-trained Rekognition moderation models with your data

AWS Machine Learning

In this post, we discuss how to use the Custom Moderation feature in Amazon Rekognition to enhance the accuracy of your pre-trained content moderation API. The unique ID of the trained adapter can be provided to the existing DetectModerationLabels API operation to process images using this adapter.

APIs 107
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Optimize pet profiles for Purina’s Petfinder application using Amazon Rekognition Custom Labels and AWS Step Functions

AWS Machine Learning

It is already trained on tens of millions of images across many categories. Instead of thousands of images, you can upload a small set of training images (typically a few hundred images or less per category) that are specific to your use case. API Gateway calls the Lambda function to obtain the pet attributes.

APIs 94
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Customize your recommendations by promoting specific items using business rules with Amazon Personalize

AWS Machine Learning

For instance, you can have marketing partnerships that require you to promote certain brands, in-house content, or categories that you want to improve the visibility of. You can get started without any prior machine learning (ML) experience, using APIs to easily build sophisticated personalization capabilities in a few clicks.

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Automate Amazon Rekognition Custom Labels model training and deployment using AWS Step Functions

AWS Machine Learning

Rekognition Custom Labels builds off of the existing capabilities of Amazon Rekognition, which is already trained on tens of millions of images across many categories. You can then use your custom model via the Rekognition Custom Labels API and integrate it into your applications. Create a dataset with a manifest file with the AWS SDK.

APIs 80