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.
Upon completion of this beginner-level lab, you will be able to:
Knowledge of the following will be beneficial but is not required:
The following courses can be used to fulfill the prerequisites:
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December 8th, 2020 - Updated all instructions and screenshots to address issues with the UI being outdated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
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.