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Tag: Amazon Rekognition

Unlock the potential of generative AI in industrial operations | Amazon Web Services

In the evolving landscape of manufacturing, the transformative power of AI and machine learning (ML) is evident, driving a digital revolution that streamlines operations...

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Create summaries of recordings using generative AI with Amazon Bedrock and Amazon Transcribe | Amazon Web Services

Meeting notes are a crucial part of collaboration, yet they often fall through the cracks. Between leading discussions, listening closely, and typing notes, it’s...

Easily build semantic image search using Amazon Titan | Amazon Web Services

Digital publishers are continuously looking for ways to streamline and automate their media workflows to generate and publish new content as rapidly as they...

Automating product description generation with Amazon Bedrock | Amazon Web Services

In today’s ever-evolving world of ecommerce, the influence of a compelling product description cannot be overstated. It can be the decisive factor that turns...

Moderate your Amazon IVS live stream using Amazon Rekognition | Amazon Web Services

Amazon Interactive Video Service (Amazon IVS) is a managed live streaming solution that is designed to provide a quick and straightforward setup to let...

Foundational vision models and visual prompt engineering for autonomous driving applications | Amazon Web Services

Prompt engineering has become an essential skill for anyone working with large language models (LLMs) to generate high-quality and relevant texts. Although text prompt...

Use machine learning without writing a single line of code with Amazon SageMaker Canvas | Amazon Web Services

In the recent past, using machine learning (ML) to make predictions, especially for data in the form of text and images, required extensive ML...

Announcing Rekogniton Custom Moderation: Enhance accuracy of pre-trained Rekognition moderation models with your data | Amazon Web Services

Companies increasingly rely on user-generated images and videos for engagement. From ecommerce platforms encouraging customers to share product images to social media companies promoting...

Defect detection in high-resolution imagery using two-stage Amazon Rekognition Custom Labels models | Amazon Web Services

High-resolution imagery is very prevalent in today’s world, from satellite imagery to drones and DLSR cameras. From this imagery, we can capture damage due...

Optimize pet profiles for Purina’s Petfinder application using Amazon Rekognition Custom Labels and AWS Step Functions | Amazon Web Services

Purina US, a subsidiary of Nestlé, has a long history of enabling people to more easily adopt pets through Petfinder, a digital marketplace of...

Amazon SageMaker Domain in VPC only mode to support SageMaker Studio with auto shutdown Lifecycle Configuration and SageMaker Canvas with Terraform | Amazon Web...

Amazon SageMaker Domain supports SageMaker machine learning (ML) environments, including SageMaker Studio and SageMaker Canvas. SageMaker Studio is a fully integrated development environment (IDE)...

Semantic image search for articles using Amazon Rekognition, Amazon SageMaker foundation models, and Amazon OpenSearch Service | Amazon Web Services

Digital publishers are continuously looking for ways to streamline and automate their media workflows in order to generate and publish new content as rapidly...

Improving asset health and grid resilience using machine learning | Amazon Web Services

This post is co-written with Travis Bronson, and Brian L Wilkerson from Duke Energy Machine learning (ML) is transforming every industry, process, and business,...

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