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An image search engine made using python GUI, that extracts and stores features from images in database in the form of color correlogram and compares each against that of the query image, to retrieve similar images from the database.
With advanced algorithms and machine learning, our image retriveval system revolutionizes image searches, delivering precise results effortlessly. Say goodbye to endless scrolling and hello to a new era of image discovery.
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Give LLMs "mathematical eyes" for image analysis. An MCP (Model Context Protocol) server that wraps the imagefeatures library, exposing classic computer vision features as tools that Claude and other LLMs can use.
This project develops an image search system utilizing the CLIP (Contrastive Language-Image Pre-training) model, enabling users to find images through natural language queries.