Automate image labeling with Amazon Rekognition
17 students completed the lab in ~30m
Total available time: 1h:0m
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How to automate object detection with Amazon Rekognition
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 order to automate the labels extraction process, we will build a serverless system that runs object detection on every image uploaded to S3. We will use AWS Lambda for the processing logic, and save the results on a DynamoDB table.
We will see how to setup S3, DynamoDB and AWS Lambda to automate the whole process. During this laboratory, we will also discuss its API details, optional parameters, best practices, etc.
Follow these steps to learn by building helpful cloud resources
Log In to the Amazon Web Service Console
Your first step to start the laboratory experience
Object Detection Context and Limitations
What is Object Detection and how does it work?
Create an S3 bucket
How to create an S3 bucket
Create a new Lambda Function with an S3 trigger
Connect a Lambda Function to the source S3 Bucket.
Implement the Object Detection logic
AWS Lambda implementation of object detection with Amazon Rekognition.
Test the labeling system with new images
Verify that the system is working properly by uploading new images.