Automate Image Labeling with Amazon Rekognition

Lab Steps

Logging in to the Amazon Web Services Console

Object Detection Context and Limitations

Creating an Amazon S3 Bucket

Creating an AWS Lambda Function with an Amazon S3 trigger

Implementing the Object Detection Logic

Testing the Labelling System with New Images

Lab rules apply

Ready for the real environment experience?

DifficultyBeginner

Time Limit1h

Students1069

Ratings

4.3/5

Description

Amazon Rekognition allows you to detect objects and scene details from images. It provides a stateless and secure API that simply returns a list of related labels, with a certain confidence level.

In this hands-on lab, you will build a serverless system that runs object detection when images are uploaded to an Amazon S3 bucket. You will use AWS Lambda for the processing logic and you will use Amazon DynamoDB to store the results of the label detection.

Learning Objectives

Upon completion of this beginner-level lab, you will be able to:

Create an Amazon S3 bucket
Create an AWS Lambda function
Configure an AWS Lambda function to trigger on an upload to Amazon S3
Implement image label detection using Amazon Rekognition and Python

Intended Audience

Cloud Engineers
Data Engineers

Prerequisites

Knowledge of the following will be beneficial but is not required:

Amazon S3
AWS Lambda
Amazon Rekognition
Python

The following courses can be used to fulfill the prerequisites:

Updates

March 11th, 2021 - Updated AWS Lambda lab steps to reflect latest user interface updates

January 22nd, 2021 - Updated AWS Lambda lab steps to reflect latest user interface updates

December 8th, 2020 - Updated all instructions and screenshots to address issues with the UI being outdated

February 21st, 2020 - Updated instructions to clarify the need to use the provided code and the detect labels API for the lab to function correctly

January 10th, 2019 - Added a validation Lab Step to check the work you perform in the Lab

About the Author

Andrew Burchill

Students51275

Labs129

Courses2

Learning paths3

Andrew is a Labs Developer with previous experience in the Internet Service Provider, Audio Streaming, and CryptoCurrency industries. He has also been a DevOps Engineer and enjoys working with CI/CD and Kubernetes.

He holds multiple AWS certifications including Solutions Architect Associate and Professional.

Covered Topics

Machine Learning Artificial Intelligence Amazon Web Services Artificial Intelligence for AWS Amazon Rekognition

AWS Machine Learning – Specialty Certification Preparation

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Introduction to AWS Machine Learning – Specialty Certification Preparation

Observations on the AWS Machine Learning - Specialty Exam

Introduction to Machine Learning Concepts

Introduction to Data and Machine Learning

Module 0 - What is Machine Learning? - Part One

Module 0 - What is Machine Learning? - Part Two

Knowledge Check: Practical Machine Learning - Module 0

Working with Distributed Machine Learning

TensorFlow Machine Learning on the Amazon Deep Learning AMI

Analyzing CPU vs GPU Performance for AWS Machine Learning

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Module 2 - Maths for Machine Learning - Part One

Module 2 - Maths for Machine Learning - Part Two

Knowledge Check: Practical Machine Learning - Module 2

Introduction to Deep Learning

Getting Started with Deep Learning: Introduction To Machine Learning

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Getting Started With Deep Learning: Convolutional Neural Networks

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Testing Your Models in the Real World

Knowledge Check: Getting Started with Machine Learning Models

Module 5 - Regression

Evaluating Model Predictions for Regression Models

Knowledge Check: Practical Machine Learning - Module 5

Module 6 - Unsupervised learning

Module 7 - Probability and statistics

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Handling Missing Data

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Managing User Identities with Long Term Credentials in AWS IAM

Managing Access using IAM User Groups & Roles

Using IAM Policies to Define and Manage Permissions

Advanced Roles and Groups Management Using IAM

Knowledge Check: Overview of AWS Identity and Access Management (IAM)

Storage Fundamentals for AWS

Designing Secure Applications and Architectures

Using Amazon S3 Bucket Properties & Management Features to Maintain Data

Amazon S3: Data Replication and Bucket Key Encryption

How to Use KMS Key Encryption to Protect Your Data

Knowledge Check: AWS Storage Fundamentals

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Learning Path