Skip to content

SueYang/Imagion

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Imagion

Imagion is a UCB Data Science program capstone project. Imagion helps you pick which picture to upload to Instagram. Whether you are an advertiser that needs help deciding which creative will get the best click-through rate or an influencer that wants to maximize likes, Imagion is here to help.

Our team used machine learning to train a convolutional neural network to rank input images on a scale from 0 to 10 based on how well the model believes the images will do on Instagram. You can upload anywhere from 1 to 5 images at once and our algorithm will provide near real-time rankings of images and their respective scores. Our model was trained on a dataset of ~12k images from Instagram.

Team Member

  • Sue(Xue) Yang
  • Haroon Choudery
  • Roiana Reid

More about Project

Project Presentation Link

Imagion Project on UC Berkeley Ischool Page

Website Delivery Screenshots

Home Page

Home

About Page

About-1 About-2 About-3

Upload Page

Upload-1 Upload-2

Result Page

Result

Contact Page

Contact

s

About

Save Capstone Works

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Contributors 3

  •  
  •  
  •  

Languages