Red Hen Rapid Annotator
- Mentors
- Peter Uhrig, Cristóbal Pagán Cánovas, Vaibhav Gupta
- Organization
- Red Hen Lab
With Red Hen Lab’s Rapid Annotator we try to enable researchers worldwide to annotate large chunks of data in a very short period of time with least effort possible and try to get started with minimal training. This task is aimed at extending the Red Hen Rapid Annotator, which was re-implemented from scratch as a Python/Flask application during GSoC 2018 by Vaibhav Gupta and improved in last year's GSoC by Gulshan Kumar. This project mainly aims to deliver a fully usable and handy product by the end of Google Code of Summer 2020 and incorporation of new feature request and bug fixes. The final product would be a complete tool for fast and simple classification of datasets and an administrative interface for the experimenters where they can conduct their annotation runs. It broadly comprises of 3 steps, namely
- Uploading their datasets to set up the experiment.
- Assigning annotators datasets for annotation.
- Keeping a track of the annotation progress.