diff --git a/docs/source/contribution.rst b/docs/source/contribution.rst
index 89bbd11..3c01e9f 100644
--- a/docs/source/contribution.rst
+++ b/docs/source/contribution.rst
@@ -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
 
@@ -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``:
diff --git a/docs/source/experiments.rst b/docs/source/experiments.rst
index 0beec99..32f9e83 100644
--- a/docs/source/experiments.rst
+++ b/docs/source/experiments.rst
@@ -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
@@ -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.
diff --git a/docs/source/resources/crowd-seg-example-instances.png b/docs/source/resources/crowd-seg-example-instances.png
new file mode 100644
index 0000000..a012ca1
Binary files /dev/null and b/docs/source/resources/crowd-seg-example-instances.png differ