muggin/cbir-system
Content-Based Image Retrieval system (KTH DD2476 Project)
This system helps you find specific images within a large collection by searching for images that look similar to an example you provide. You input an image you're interested in, and the system outputs other images from your library that share similar visual characteristics. This is ideal for anyone managing vast image archives, like digital asset managers, content creators, or researchers.
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Use this if you need to quickly locate visually similar images within a large dataset without relying on text tags or metadata.
Not ideal if your primary need is to categorize images by semantic content or if your image collection is very small.
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Language
JavaScript
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Last pushed
Oct 25, 2017
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