AWS News Blog

Category: Amazon Rekognition*

Welcoming Amazon Rekognition Video: Deep-Learning Based Video Recognition

It was this time last year during re:Invent 2016 that Jeff announced the Amazon Rekognition service launch.  I was so excited about getting my hands dirty and start coding against the service to build image recognition solutions. As you may know by now, Amazon Rekognition Image is a cloud service that uses deep learning to provide […]

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AWS GovCloud (US) and Amazon Rekognition – A Powerful Public Safety Tool

I’ve already told you about and described how it uses deep neural network models to analyze images by detecting objects, scenes, and faces. Today I am happy to tell you that is now available in the AWS GovCloud (US) Region. To learn more, read the Amazon Rekognition FAQ, and the Amazon Rekognition Product Details, review […]

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Amazon Rekognition Update – Celebrity Recognition

We launched at re:Invent (Amazon Rekognition – Image Detection and Recognition Powered by Deep Learning) and added Image Moderation earlier this year. Today we are adding celebrity recognition! Rekognition has been trained to identify hundreds of thousands of people who are famous, noteworthy, or prominent in fields that includes politics, sports, entertainment, business, and media. […]

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Amazon Rekognition Update – Estimated Age Range for Faces

is one of our artificial intelligence services. In addition to detecting objects, scenes, and faces in images, Rekognition can also search and compare faces. Behind the scenes, Rekognition uses deep neural network models to analyze billions of images daily (read Amazon Rekognition – Image Detection and Recognition Powered by Deep Learning to learn more). returns […]

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Amazon Rekognition – Image Detection and Recognition Powered by Deep Learning

What do you see when you look at this picture? You might simply see an animal. Maybe you see a pet, a dog, or a Golden Retriever. The association between the image and these labels is not hard-wired in to your brain. Instead, you learned the labels after seeing hundreds or thousands of examples. Operating […]

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