Phodexr

A Semantic Search Project

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Overview

Phodexr is a project that aims to enable searching through images with text. However, the search should be based solely on the content of the image and not the text context around it. To tackle this problem, phodexr uses CLIP which is a model released by OpenAI to connect two different embedding spaces.

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Demo

Example images to choose from. Please download them and submit them to the following demos!

Most Likely Caption

CLIP model based off the original paper here and trained from scratch.

Results

Submit a query to see the predictions!

About Us

We are a group of students at UC Berkeley working on tackling real world problems with artificial intelligence.


Jimmy Li

Sean O'brien

Armaan Goel

Rachel Lee

Ryan Tabrizi