1. Home
  2. Training Library

Automate Image Labeling with Amazon Rekognition

Lab Steps

lock
Logging in to the Amazon Web Services Console
lock
Object Detection Context and Limitations
lock
Creating an Amazon S3 Bucket
lock
Creating an AWS Lambda Function with an Amazon S3 trigger
lock
Implementing the Object Detection Logic
lock
Testing the Labelling System with New Images
Lab rules apply

Ready for the real environment experience?

DifficultyBeginner
Time Limit1h
Students1002
Ratings
4.3/5
starstarstarstarstar-half

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December 8th, 2020 - Updated all instructions and screenshots to address issues with the UI being outdated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

Andrew Burchill

Labs Developer
Students45614
Labs117
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 LearningArtificial IntelligenceAmazon Web ServicesArtificial Intelligence for AWSAmazon Rekognition

AWS Machine Learning – Specialty Certification Preparation

0%
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
Module 1 – Python for Machine Learning
Knowledge Check: Practical Machine Learning - Module 1
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
Getting Started With Deep Learning: Working With Data
Getting Started With Deep Learning: Working With Data: Gradient Descent
Knowledge Check: Zero to Deep Learning - Introduction to Deep Learning
Knowledge Check: Zero to Deep Learning - Introduction to Data Science and Machine Learning
Getting Started With Deep Learning: Convolutional Neural Networks
Getting Started With Deep Learning: Recurrent Neural Networks
Getting Started With Deep Learning: Improving Performance
Knowledge Check: Zero to Deep Learning - Working with Convolutional and Recurrent Neural Networks
Introduction to SageMaker
Get Started with Amazon SageMaker Data Wrangler, Data Pipeline, Feature Store and Ground Truth
Module 3 - Supervised Learning - Part One
Module 3 - Supervised Learning - Part Two
Knowledge Check: Practical Machine Learning - Module 3
Using SageMaker Notebooks to Train and Deploy Machine Learning Models
Amazon SageMaker Notebook Playground
Forecast Flight Delays with Amazon SageMaker
Knowledge Check: Start Modeling Data with Amazon SageMaker
Module 4 - Model Selection
Knowledge Check: Practical Machine Learning - Module 4
Common Machine Learning Models & How to Train Them
Machine Learning - Training Custom Models
Evaluating Binary Classification Models
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
Introduction to Amazon Rekognition
Handling Missing Data
Automate Image Labeling with Amazon Rekognition
Working with Amazon Lex - Chatbots
Using an MXNet Neural Network to Style Images
How AWS IAM is Used to Securely Manage Access
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
AWS Step Functions
Introduction to AWS Step Functions
Analyzing Data with Amazon Athena
Query Encrypted Amazon S3 Data with Amazon Athena
Developing Serverless ETL with AWS Glue
Overview of Amazon Kinesis
Working with Amazon Kinesis Analytics
Cert Prep: Certified Machine Learning - Specialty for AWS
Learning Pathnavigation