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Quickly annotate data on Jupyter notebooks.

Project description

🐦 pigeon - Quickly annotate data on Jupyter

Pigeon is a simple widget that lets you quickly annotate a dataset of
unlabeled examples from the comfort of your Jupyter notebook.

Pigeon currently supports annotation for classification tasks (set of
labels), regression tasks (int/float range), or captioning tasks
(variable-length text). Anything that can be displayed on Jupyter
(text, images, audio, graphs, etc.) can be displayed by pigeon
by providing the appropriate :code:`display_fn` argument.


- Text classification


.. code-block:: python

from pigeon import annotate
annotations = annotate(
['I love this movie', 'I was really disappointed by the book'],
options=['positive', 'negative']


.. image::

- Image classification


.. code-block:: python

from pigeon import annotate
from IPython.display import display, Image

annotations = annotate(
['assets/img_example1.jpg', 'assets/img_example2.jpg'],
options=['cat', 'dog', 'horse'],
display_fn=lambda filename: display(Image(filename))


.. image::

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pigeon-jupyter-0.1.0.tar.gz (3.8 kB) Copy SHA256 hash SHA256 Source None Sep 5, 2017

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