diff --git a/embedded_ml_exercise.qmd b/embedded_ml_exercise.qmd
index d24aad62..f9f0aa3f 100644
--- a/embedded_ml_exercise.qmd
+++ b/embedded_ml_exercise.qmd
@@ -403,27 +403,19 @@ height="4.263888888888889in"}
 
 On your computer, you will find a ZIP file. Open it:
 
-![Pasted Graphic
-64.png](images_4/media/image33.png){width="6.5in"
-height="2.625in"}
+![](images_4/media/image33.png){width="6.5in" height="2.625in"}
 
 Use the Bootloader tool on the OpenMV IDE to load the FW on your board:
 
-![Pasted Graphic
-63.png](images_4/media/image35.jpg){width="6.5in"
-height="3.625in"}
+![](images_4/media/image35.jpg){width="6.5in" height="3.625in"}
 
 Select the appropriate file (.bin for Nicla-Vision):
 
-![Pasted Graphic
-65.png](images_4/media/image8.png){width="6.5in"
-height="1.9722222222222223in"}
+![](images_4/media/image8.png){width="6.5in" height="1.9722222222222223in"}
 
 After the download is finished, press OK:
 
-![DFU firmware update
-complete!.png](images_4/media/image40.png){width="3.875in"
-height="5.708333333333333in"}
+![DFU firmware update complete!.png](images_4/media/image40.png){width="3.875in" height="5.708333333333333in"}
 
 If a message says that the FW is outdated, DO NOT UPGRADE. Select
 \[NO\].
@@ -539,7 +531,7 @@ The latency will drop to only 71 ms.
 ![](images_4/media/image1.jpg){width="3.5520833333333335in"
 height="1.53125in"}
 
-### ***OpenMV Cam runs about half as fast when connected to the IDE. The FPS should increase once disconnected.***
+> *The NiclaV runs about half as fast when connected to the IDE. The FPS should increase once disconnected.*
 
 ### **Post-Processing with LEDs**
 
@@ -732,4 +724,4 @@ projects around vision in several areas, such as:
     > human-machine interaction.
 
 -   **Content Recommendation**: Image-based recommendation systems in
-    > e-commerce.
+    > e-commerce.
\ No newline at end of file