https://github.com/chestrays/jupyanno
Make data labeling easy with Jupyter notebooks and Google Sheets!
https://github.com/chestrays/jupyanno
annotation-framework binder-ready ipywidgets jupyter-notebook labeling-tool widgets
Last synced: 7 months ago
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Make data labeling easy with Jupyter notebooks and Google Sheets!
- Host: GitHub
- URL: https://github.com/chestrays/jupyanno
- Owner: chestrays
- License: apache-2.0
- Created: 2018-07-31T08:43:43.000Z (almost 8 years ago)
- Default Branch: master
- Last Pushed: 2019-09-19T08:57:30.000Z (over 6 years ago)
- Last Synced: 2025-04-04T22:33:32.542Z (about 1 year ago)
- Topics: annotation-framework, binder-ready, ipywidgets, jupyter-notebook, labeling-tool, widgets
- Language: Jupyter Notebook
- Homepage:
- Size: 51.7 MB
- Stars: 27
- Watchers: 2
- Forks: 4
- Open Issues: 23
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# jupyanno [](https://travis-ci.org/chestrays/jupyanno) [](https://codecov.io/gh/chestrays/jupyanno)

# Overview
The focus of the project is to make acquiring more training data as easy as possible for data-scientists. The project uses Jupyter notebooks and widgets to allow for custom GUI tools to be made and deployed with JupyterHub / BinderHub. The tools are also designed to make tracker user interaction easy as well (how long did a user look, what did they change / zoom into / click). The toolkit is made to be easily extensible and suggestions / improvements are welcome.
# Tasks Addressed
## Multiple Choice
## Binary Choice (with unknown option)
## Bounding Box (in progress)
# Example Tasks
## Chest X-Ray for Pneumonia Task
Here we have a demo chest X-Ray task where the annotation and viewing of a sample dataset can be done entirely with these tools.
[](https://mybinder.org/v2/gh/chestrays/jupyanno/master?urlpath=%2Fapps%2Fnotebooks%2Fanno_app.ipynb%3Fuser%3Drandom_githubber)
[](https://mybinder.org/v2/gh/chestrays/jupyanno/master?urlpath=%2Fapps%2Fnotebooks%2Fdashboard.ipynb%3Fuser%3Drandom_githubber)
[](https://docs.google.com/spreadsheets/d/1T02tRhe3IUUHYsMchc7hmH8nVI3uR0GffdX1PNxKIZA/edit#gid=1178875150)
[](https://docs.google.com/spreadsheets/d/1JUCLX_17JIGit0Nk4wphgTHlmji9u9PYPmyf_9Wscvg/edit#gid=1062358074)
# Installation
The widgets can be installed by running
```
pip install git+https://github.com/chestrays/jupyanno/
```
For a more complete environment you can use [repo2docker](https://github.com/jupyter/repo2docker) to create a Docker Image from the repository