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docs\feat: #48 details on crowd seg dataset
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- added minor details on crowd seg dataset documentation
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blotero committed Apr 22, 2024
1 parent a0fbc6d commit 2ab7e66
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6 changes: 2 additions & 4 deletions docs/source/contribution.rst
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Expand Up @@ -53,8 +53,8 @@ documentation pages.
Development environment
=======================

Please setup your development environment with ``venv`` for python 3.11 as
follows
Please setup your development environment with ``venv`` for python 3.11
as follows

.. code:: bash
Expand All @@ -78,8 +78,6 @@ Also, you can locally build doc pages with:
.. code:: bash
make html
Besides, if you want to apply formatting to your docs, you can use
``rstfmt``:
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15 changes: 12 additions & 3 deletions docs/source/experiments.rst
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Expand Up @@ -23,9 +23,8 @@ and easily retriable format, available at the following link:

https://github.com/UN-GCPDS/python-gcpds.image_segmentation

*******************
Scorers emulation
*******************
Scorers emulation
=================

On itself, the Oxford-IIIT Pet dataset contains the masks which reffer
to the ground truth and not to labels from different annotators, which
Expand All @@ -51,3 +50,13 @@ students.
This dataset fairly represents the original intention of the project,
which is to provide a tool for pathologists to segment histopathological
images.

The dataset is conformed by several histology patches of size 512x512
px. Masks labels exits for an expert pathologist and 20 medical
students. Every single patch contains label for every annotator as shown
in the figure:

.. image:: resources/crowd-seg-example-instances.png
:width: 100%
:align: center
:alt: Different labeling instances for three different patches of the CrowdSeg dataset.
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