diff --git a/docs/en/datasets/segment/crack-seg.md b/docs/en/datasets/segment/crack-seg.md
index 1526fa5e..3a82a107 100644
--- a/docs/en/datasets/segment/crack-seg.md
+++ b/docs/en/datasets/segment/crack-seg.md
@@ -6,8 +6,21 @@ keywords: Roboflow, Crack Segmentation Dataset, Ultralytics, transportation safe
 
 # Roboflow Universe Crack Segmentation Dataset
 
+<a href="https://colab.research.google.com/github/ultralytics/notebooks/blob/main/notebooks/how-to-train-ultralytics-yolo-on-crack-segmentation-dataset.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open Crack Segmentation Dataset In Colab"></a>
+
 The [Roboflow](https://roboflow.com/?ref=ultralytics) [Crack Segmentation Dataset](https://universe.roboflow.com/university-bswxt/crack-bphdr?ref=ultralytics) stands out as an extensive resource designed specifically for individuals involved in transportation and public safety studies. It is equally beneficial for those working on the development of self-driving car models or simply exploring [computer vision](https://www.ultralytics.com/glossary/computer-vision-cv) applications for recreational purposes.
 
+<p align="center">
+  <br>
+  <iframe loading="lazy" width="720" height="405" src="https://www.youtube.com/embed/C4mc40YKm-g"
+    title="YouTube video player" frameborder="0"
+    allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share"
+    allowfullscreen>
+  </iframe>
+  <br>
+  <strong>Watch:</strong> Crack segmentation using Ultralytics YOLOv9
+</p>
+
 Comprising a total of 4029 static images captured from diverse road and wall scenarios, this dataset emerges as a valuable asset for tasks related to crack segmentation. Whether you are delving into the intricacies of transportation research or seeking to enhance the [accuracy](https://www.ultralytics.com/glossary/accuracy) of your self-driving car models, this dataset provides a rich and varied collection of images to support your endeavors.
 
 ## Dataset Structure