Skip to content

An example of transfer learning using the Tensorflow machine learning library. Sample app uses images from local digital collection to benchmark predictions.

License

Notifications You must be signed in to change notification settings

jasonclark/image-classifier

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

28 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

image-classifer

An example of transfer learning using the Tensorflow machine learning library. Sample app uses images from local digital collection to benchmark predictions. It is live at www.jasonclark.info/files/image-classifier/.

Getting Started

  1. Download the image-classifier files or clone the repository.
  2. Place files in a web-accessible directory.
  3. Add your own images to the /assets/img/ directory.
  4. Navigate to /assets/img/ and Run Unix Tree command. Example: tree > ../json/tree.txt
  5. Navigate to /assets/json/ and Run create-json.py. Example: python create-json.py
  6. Load index.html in a web browser.

Technology

  • HTML
  • CSS
  • Javascript
  • Python

People

Crafted with ❤️ by Jason A. Clark sameAs @jaclark

About

An example of transfer learning using the Tensorflow machine learning library. Sample app uses images from local digital collection to benchmark predictions.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages