Aws Photos

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Amazon Rekognition makes it easy to add image and video analysis to your applications using proven, highly scalable, deep learning technology that requires no machine learning expertise to use. With Amazon Rekognition, you can identify objects, people, text, scenes, and activities in images and videos, as well as detect any inappropriate content. Amazon Rekognition also provides highly accurate facial analysis and facial search capabilities that you can use to detect, analyze, and compare faces for a wide variety of user verification, people counting, and public safety use cases.

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The American Welding Society (AWS) was founded in 1919, as a nonprofit organization with a global mission to advance the science, technology and application of welding and allied joining and cutting processes, including brazing, soldering and thermal spraying. Oct 14, 2016 Step 1. Configure the backend AWS resources via AWS Mobile Hub. This consists of creating a project, enabling a single feature called User Data Storage, and building/downloading the iOS Swift sample app source code project. Explore uploading to and downloading photos from Amazon S3 using the sample app generated by Mobile Hub. Building a serverless photo gallery? Password-protecting that without adding servers? Surprisingly much more complex. Host a self-contained, declarative infrastructure, password-protected, data-driven static photo gallery to share personal pictures with friends and family, without needing to run, maintain (or pay for) servers.

Aws Video Storage

With Amazon Rekognition Custom Labels, you can identify the objects and scenes in images that are specific to your business needs. For example, you can build a model to classify specific machine parts on your assembly line or to detect unhealthy plants. Amazon Rekognition Custom Labels takes care of the heavy lifting of model development for you, so no machine learning experience is required. You simply need to supply images of objects or scenes you want to identify, and the service handles the rest.