diff --git a/docs/GettingStarted/beta_amyloid_plaque_detection.rst b/docs/GettingStarted/beta_amyloid_plaque_detection.rst
index 14e848d..fcae912 100644
--- a/docs/GettingStarted/beta_amyloid_plaque_detection.rst
+++ b/docs/GettingStarted/beta_amyloid_plaque_detection.rst
@@ -5,7 +5,7 @@ Beta-Amyloid Plaque Detection
 
 Below is a figure illustrating an overview of the pipeline processing the image volume to a list of centroids:
 
-.. figure:: cvpl_tools/docs/assets/image_to_list_of_centroids.png
+.. figure:: ../assets/image_to_list_of_centroids.png
     :alt: Slice of mouse brain, unsegmented
 
     pipeline overview
\ No newline at end of file
diff --git a/docs/GettingStarted/nnunet.rst b/docs/GettingStarted/nnunet.rst
index a9d42c2..3465b18 100644
--- a/docs/GettingStarted/nnunet.rst
+++ b/docs/GettingStarted/nnunet.rst
@@ -116,12 +116,12 @@ looking at:
 
 these metrics are best summarized as IOU or DICE scores. We look at an example segmentation below.
 
-.. figure:: cvpl_tools/docs/assets/mb_unmasked.png
+.. figure:: ../assets/mb_unmasked.png
     :alt: Slice of mouse brain, unsegmented
 
     Slice of the mouse brain, not annotated (without negative masking)
 
-.. figure:: cvpl_tools/docs/assets/mb_masked.png
+.. figure:: ../assets/mb_masked.png
     :alt: Slice of mouse brain, negative masked
 
     Slice of the mouse brain, annotated (with negative masking)
diff --git a/docs/conf.py b/docs/conf.py
index 6af7dd6..5bd787a 100644
--- a/docs/conf.py
+++ b/docs/conf.py
@@ -9,7 +9,7 @@
 project = 'cvpl_tools'
 copyright = '2024, KarlHanUW'
 author = 'KarlHanUW'
-release = '0.7.3'
+release = '0.8.1'
 
 # -- General configuration ---------------------------------------------------
 # https://www.sphinx-doc.org/en/master/usage/configuration.html#general-configuration
diff --git a/pyproject.toml b/pyproject.toml
index 543662e..2c11398 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "cvpl-tools"
-version = "0.8.0"
+version = "0.8.1"
 description = "A Python package for utilities and classes related to the file I/O, dataset record keeping and visualization for image processing and computer vision."
 authors = ["Karl5766 <karl29029@gmail.com>"]
 license = "MIT"