Imagerie
A TensorFlow training interface

Automate quality assurance with image detection

  • Express Server as proxy service to upload / download photos from AWS S3, Minio and other storage services.
  • Webpack 4 hotloading development environment with testing, production and development build scripts for packing and deployment
  • Drop and Drop photo library manager for building trainings from remote and local photos
  • Customized Tree component for easier review of tag and photo collections with counts and average region sizes
  • Customized Select region component for drawing, dragging, and resizing tags with 0 - 400% magnified zoom window
  • User defined categories and tag names
  • Automated demo builder with customizing parameters

Started: 2018-05-01

Launched/Lasted:: 2018-12-31

Live: https://imagerie.herokuapp.com

Dev: http://imagerie.taylormadetraffic.com/training/demo

Tools: Node.js, Express.js, React.js, Bootstrap, AWS S3

Team: E.A.Taylor: Front-End. Sam Silverberg: TensorFlow. Aaron Silverberg: Product Development.

Client: Refined Motion

Copyright: Refined Motion

Industries: technology, analytics, robotics, manufacturing