``peerannot``
=============
*--Handling your crowdsourced datasets easily--*
|Python 3.8+| |PyPI version|
The peerannot library was created to handle crowdsourced labels in classification problems.
Getting started
===============
Start here to get up and running
.. toctree::
:maxdepth: 2
get_started
Tutorials and additional examples
=====================================
Want to dive deeper into the library? Check out the tutorials
You will find resources to add your own datasets, strategy, and run your first label aggregations.
.. toctree::
:maxdepth: 1
tutorials/index
* More examples can be found in the `published paper in Computo Journal `_
* An interactive tool to compare the AUM and WAUM identification scores is available `here `_
API and CLI Reference
=====================
Want to deep dive into the library?
In addition to the tutorials, you can find the full API and CLI reference here.
.. grid:: 2
.. grid-item-card:: **API Reference**
:link: interface_api
:link-type: ref
:octicon:`book` **Run peerannot from a python script**
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.. grid-item-card:: **CLI Reference**
:link: interface_cli
:link-type: ref
:octicon:`terminal` **Run peerannot from your terminal**
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
.. toctree::
:maxdepth: 1
:hidden:
:includehidden:
interface_api/index
interface_cli/index
.. include:: glossary.rst
Citation
============
Cite us, join us, and let us collaboratively improve our toolbox!
.. code-block:: bibtex
@article{lefort2024,
author = {Lefort, Tanguy and Charlier, Benjamin and Joly, Alexis and Salmon, Joseph},
publisher = {French Statistical Society},
title = {Peerannot: Classification for Crowdsourced Image Datasets with {Python}},
journal = {Computo},
date = {2024-04-04},
url = {https://computo.sfds.asso.fr/published-202402-lefort-peerannot/},
}
.. |Python 3.8+| image:: https://img.shields.io/badge/python-3.8%2B-blue
:target: https://www.python.org/downloads/release/python-360/
.. |PyPI version| image:: https://badge.fury.io/py/peerannot.svg
:target: https://pypi.org/project/peerannot/