Practical data labelling and active learning in Jupyter notebooks.
superintendent is a set of
ipywidget-based interactive labelling tools for
your data. It allows you to flexibly label all kinds of data.
It also allows you to combine your data-labelling task with a statistical or machine learning model to enable quick and practical active learning.
Throughout the documentation, all widgets will look like they do in a jupyter notebook. However, clicking on any of the buttons will not trigger anything. This is because there is no running backend. To really get a feel for how it all works, you should install superintendent and try it out in a notebook.
- Labelling data
- Active learning
- Distributed labelling
- API Reference
- Labelling text
- Labelling images
- Custom pre-processing steps as part of superintendent
- Using docker-compose to serve a superintendent interface to many users