Open-Source python package to find relevant images for a sentence
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[Search results for \\"a happy potato\\"](https://preview.redd.it/2cnopvno0gr81.jpg?width=744&amp;format=pjpg&amp;auto=webp&amp;s=eecc9e9948c386fbd959289257c347fa19c35644)

You **don't** need to caption the images for the search to work, and it is **not** just limited to objects in the image but an overall understanding built using a neural network trained on images/text found on internet.

This is what [CLIP-as-service](https://github.com/jina-ai/clip-as-service) enables. It is an open-source library to create embeddings of images and text using CLIP. These embeddings can be used to find the relevant images for any sentence.

**What is CLIP?**

CLIP is a Neural Network trained on variety of images and natural language sentences available on the internet. It enables understanding of concepts in an image as natural language. This can be used for cases such as searching image by text or describing an image in natural language.

The demo screenshot shown in the post is an example showing relevant images for a particular query sentence.

More info on Github readme about how to achieve this

* Source code: [https://github.com/jina-ai/clip-as-service](https://github.com/jina-ai/clip-as-service)
* License: Apache 2.0

What would you use it for? And what next features/improvements should I work on?