A photograph of a fruit stall in a market with a woman buying fruit. This iamge is used later in the article to symbolize and explain SageMaker image processing.

SageMaker image processing algorithms

There are three built-in SageMaker image processing algorithms. They are all Supervised Learning algorithms and so have to be trained using labelled data. Each one analyzes images in a different way and returns different inference data for downstream processing. SageMaker’s three built-in image processing algorithms each have their own way of visualizing real word objects. The question you want answered will determine which algorithm you use.

These revision notes are part of subdomain 3.2 Select the appropriate model(s) for a given machine learning problem of the exam syllabus.

Image Processing Articles

A photograph of a fruit stall in a market with a woman buying fruit. Items in the image have a tag label next to them with the fruit or object name. This symbolizes how the SageMaker image classification algorithm works.
Modeling (Domain 3)

Image Classification Algorithm

The SageMaker Image Classification algorithm can apply multiple labels to an image depending on what objects are identified. Objects are either identified, or not, there are no probability scores. Attributes Problem attribute Description Data types and format Image Learning paradigm or domain Image Processing, Supervised Problem type Image and multi-label classification Use case examples Label/tag…

Credits

Woman and vegetable store photo by Clem Onojeghuo on Unsplash

AWS Certified Machine Learning Study Guide: Specialty (MLS-C01) Exam

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This study guide provides the domain-by-domain specific knowledge you need to build, train, tune, and deploy machine learning models with the AWS Cloud. The online resources that accompany this Study Guide include practice exams and assessments, electronic flashcards, and supplementary online resources.

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