hands-on lab

Automate Image Labeling with Amazon Rekognition

Beginner

Up to 1h

1,289

4.3/5

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Lab 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

February 21st, 2024 - Resolved an issue with the S3 trigger and the provided sample images

July 3rd, 2023 - Updated instructions and screenshots to reflect the latest UI

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December 8th, 2020 - Updated all instructions and screenshots to address issues with the UI being outdated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, opens in a new tab

Labs Developer

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Learning paths

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

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