``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/