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Image Analytics for Everyone: Image Embeddings with Orange

What is image embedding and how to analyse images with machine learning without coding?

Primož Godec
TDS Archive
5 min readMay 4, 2022

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This article looks at image embeddings (transformations of images in the vector space) and describes how to prepare images for analysis by embedding them into the vector space. We demonstrate the usefulness of embeddings in the simple analysis where we will try to group similar photographs. The analysis is performed in Orange — the simple and free toolkit for data analysis that anyone can use.

The grid of images, image embedding, Orange, Image analytics, Image anaysis
The grid where similar images are closer together is computed based on image embeddings (Image by Author)

What is image embedding?

Most machine learning algorithms for classification, regression or clustering cannot work on images directly. To perform the analysis, we need to transform them into a more suitable representation — vectors of numbers named embeddings. Image embedding is a vector representation of an image in which images with similar motives have similar vector profiles.

image embedding explained; image analytics; image anaysis
Embedder transforms each image into one vector of numbers. The green vector belongs to the green image; the orange vector belongs to the orange image, the blue to the blue and red to the red. (Image by author)

In general, embeddings are not understandable by humans since they are vectors of numbers inferred by the computer (also, the network that infers numbers is learnt automatically…

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TDS Archive
TDS Archive

Published in TDS Archive

An archive of data science, data analytics, data engineering, machine learning, and artificial intelligence writing from the former Towards Data Science Medium publication.

Primož Godec
Primož Godec

Written by Primož Godec

Researcher at the University of Ljubljana | Data scientist | Nature and creativity enthusiast | Support my writing: https://medium.com/@primogodec/membership

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