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Web based trash image classification

Home Page: https://www.trashai.org

License: MIT License

Shell 1.76% JavaScript 0.60% Python 4.97% TypeScript 16.70% Makefile 0.36% HTML 0.26% Vue 12.20% Jupyter Notebook 62.91% Dockerfile 0.21% SCSS 0.03%

trash-ai's Introduction

AI for Litter Detection (Web Application)

Project Information

  • Sponsor: Win Cowger, UC Riverside - Trash Data Projects
  • Meeting Times: Wednesdays at 6:30pm (Weekly Brigade Meetings)

Project Summary

  • Description: Develop web application where users can upload photos of street litter which will be labeled using computer vision to detect and categorize litter type.
  • Benefit: Enhance abilities of researchers to quickly label photos and categorize types.

Run the environment live with localstack, and docker

Instructions on bringing up a new deployment

Mostly CD at this point.

Runs the complex stuff so you don't have to

trash-ai's People

Contributors

donaldbrower avatar feydan avatar josephmfaulkner avatar walteryu avatar zfi avatar

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