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Sep 5, 2017
Sep 5, 2017
Sep 5, 2017
Sep 5, 2017

🐦 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 display_fn argument.

Installation

pip install pigeon-jupyter

Examples

  • Text classification

Code:

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

Preview:

http://i.imgur.com/00ry4Li.gif

  • Image classification

Code:

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))
)

Preview:

http://i.imgur.com/PiE3eDt.gif

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🐦 Quickly annotate data from the comfort of your Jupyter notebook

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