Cloud Academy – Introduction to Amazon Rekognition

Cloud Academy – Introduction to Amazon Rekognition-STM
English | Size: 954.89 MB
Category: Tutorial

In this course you’ll learn about Amazon Rekognition, a service that enables you to easily and quickly integrate computer vision features directly into your own applications. At its core, Amazon Rekognition provides an API that you submit images and/or videos to. You then instruct the Rekognition service to perform a specific analysis on the media. The analysis can be anything from detecting faces within an image to extracting labels from a video in an asynchronous manner
Lectures
We ll provide in-depth reviews of the image, video, and collection based API sets. Amazon Rekognition makes it easy to add image and video analysis to your applications. You simply submit your image or video to the Rekognition service, and the service will then identify objects people, text, scenes, emotions, and activities Additionally the service can be used to moderate content by detecting inappropriate or objectionable content
Demonstrations
We finish the course with a couple of demonstrations:

In the 1st demonstration we will show you how to use Amazon Rekognition together with S3 and CloudFront for hosting, to build a simple facial analysis static web application In the 2nd demonstration we will show you how to use the AWSCLI to implement an object and feature detection system that sends an email when certain features are detected within an image

Both demonstrations will highlight the capabilities of the Amazon Rekognition and the different approaches you can adopt to interface with the service Intended Audience
The intended audience for this course includes:

Data scientists interested in mining information from images and/or video
Machine Learning enthusiasts with an interest in computer vision
Developers interested in learning how to integrate image and video analysis into their own applications
Anyone interested in learning how Amazon Rekognition works

Learning Objectives
By completing this course, you will:

Understand what Amazon Rekognition is and what it offers
Understand the benefits of using the Amazon Rekognition service
Understand how to use Amazon Rekognition APIs to process both images and videos
Understand how to use Collections and the storage based API set
Understand business use cases and scenarios that can benefit from using the Amazon Rekognition service
Be able to architect and integrate Amazon Rekognition into your own applications

Pre-requisites
The following prerequisites will be both useful and helpful
for this course:

General development and coding experience
AWS S3 and IAM security experience (for the demonstrations)

Course Agenda
The agenda for the remainder of this course is as follows:

We ll discuss what Amazon Rekognition is and when and why you might consider using it
We ll review the Amazon Rekognition service and provide an in-depth review of each of its features
We ll discuss benefits and business use cases that can be empowered by leveraging Amazon Rekognition
We ll provide some example business use cases and scenarios that utilise the Rekognition service
Finally – We ll present 2 demonstrations that highlight how to integrate with the Rekognition service

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