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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?
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.
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.
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…