1 Project

Imagerie
A TensorFlow training interface

Automate quality assurance with image detection
  • Built interface and middleware components to robust automated image training program
  • Express Server as proxy service to upload / download photos from Minio / AWS S3 and other storage services
  • Drop and Drop photo library manager for building trainings from remote and local photos
  • Customized Tree component for infinite nesting of tags under photos, and easier review of tag and photo collections with counts and average region sizes
  • Customized drawing component for creating, dragging, and resizing tags with 0 - 400% magnified zoom window
  • User defined categories, tag names, and tool sets
  • Automated demo builder with customizing parameters
  • Webpack 4 hotloading development environment with testing, production and development build scripts for packing and deployment

Started: 2018-05-01

Launched/Lasted: 2018-12-31

Technologies: Node.js, Express.js, React.js, Bootstrap, AWS S3, Docker, Webpack 4, TensorFlow, Kubernetes, Google Cloud Platform

Industries: Technology, Analytics, Robotics, Manufacturing

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

Companies/Brands: Refined Motion, Flexible Assembly