Tool a startup could use to manually tag categorical data to rapidly improve the classification accuracy of their machine learning models.
- Clone and then start applications with docker compose.
- Run:
git clone https://github.com/Anri-Lombard/Data-Enhancing-Tagger.git
docker-compose up
But if you do not have docker installed:
cd client
npm i && npm start
cd ../server
npm i && npm start
- Get users to manually tag data.
- Users tag data the AI cannot, if 2 agree then data is tagged.
- If 2 disagree a final user decides the tag.