AWS Partner Network (APN) Blog
Tag: Amazon Rekognition
How to Use Amazon Rekognition on Cloudinary to Auto-Tag Faces with Names
Learn how to seamlessly integrate Amazon Rekognition with the Cloudinary platform, and build an application that automatically tags people in images with names. This solution learns people’s faces from photos uploaded to a “training” folder in Cloudinary. In many cases, a single photo of someone is enough for Amazon Rekognition to learn and then, later on, identify and tag that person. This works in most photograph scenes and even pictures with many other people in them.
How to Use Amazon Rekognition and Amazon Comprehend Medical to Get the Most Out of Medical Imaging Data in Research
Medical imaging is a key part of patient health records and clinical trial workflows. Many facilities still burn medical imaging on CDs, a time-consuming and error-prone process. Ambra Health’s automatic pixel de-identification feature uses Amazon Rekognition and Amazon Comprehend Medical APIs to allow customers to de-identify images and reduce error. Now, it’s easier than ever to deploy an integrated application fabric that elevates healthcare efficiency and care.
How Slalom Created Personalized, Interactive Event Experiences Using Amazon Rekognition
Amazon Rekognition makes it easy to add highly accurate image and video analysis to your applications. The service’s core functionality allowed Slalom, an APN Premier Consulting Partner, to create three personalized, interactive experiences for attendees at REALIZE, the company’s inaugural, one-day client summit in Chicago. Dive deep into how Slalom did it, and follow along with a how-to so you can learn to do it yourself.
Applying Computer Vision to Images with Amazon Rekognition, AWS Lambda, and Box Skills
Learn how to create a sample custom Box Skill by using Amazon Rekognition Image and AWS Lambda to apply computer vision to image files in Box. This new metadata allows you to quickly find images based on keyword searches, or find images that may be inappropriate and should be moderated. With services like Amazon Transcribe, Amazon Translate, Amazon Comprehend, Amazon Rekognition Video, and Amazon SageMaker, there’s no limit to the ways you can apply AI/ML to your media files.
New Features in AWS Service Broker for OpenShift and Kubernetes
The AWS Service Broker is an open source project that allows native AWS services to be exposed directly through application platforms, such as Red Hat OpenShift Container Platform. Developers are able to provision and expose AWS through the Service Catalog, CLI, or API without needing to interact with the AWS console, or without having extensive knowledge of AWS. In response to customer feedback, we have added new features to AWS Service Broker for OpenShift and Kubernetes.