or Tools for automated image analysis in social sciences has hatched into a researcher-friendly desktop application. This application allows sending images for tagging via multiple image recognition services, for example IBM Watson and Microsoft Azure. When the image recognition process is complete, the application shows tags and their accuracies. You can also export the data in CSV, JSON, and SQLite format.
The application was built on the specification and requirement provided by Matti Nelimarkka from the University of Helsinki. Here is a link to the client's blog post about the issue in Finnish
The work started on top of an existing boilerplate, and a lot of the functionality was first built in another repository under this organization. Later, we built our own boilerplate, moved the functionality from the other repository and continued the work here.
This project hatched into a Javascript application utilizing Electron and ReactJS
Requirements: NPM
git clone https://github.com/duck-duck-tag/novelty-boilerplate
cd novelty-boilerplate && npm install
cd app/ && npm install && npm run electron-rebuild
cd ../ && npm run postinstall
npm run devCommunication was mainly managed through the medium of
Code is under the MIT License
the Kwackening!