theevann/Image-and-Text-Search
Joint representation of image and text through a Canonical Correlation Analysis
This tool helps you find images using text descriptions, or find text descriptions for images, by learning the relationships between them. You provide a collection of images and their corresponding captions, and it creates a model that understands how they relate. This is ideal for researchers or practitioners working with large image and text datasets who need to bridge the gap between visual content and linguistic descriptions.
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Use this if you need to build a system that can search images using text queries, or generate relevant text tags for images, based on a dataset where images and their descriptions are paired.
Not ideal if you're looking for a general-purpose image search engine without needing to train on your own specific image-text dataset, or if you only work with one modality (just images or just text).
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Language
Python
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Last pushed
Jun 05, 2019
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