Add https://youtu.be/ogTBBD8McRk & https://youtu.be/Fj9TStNBVoY to docs (#12748)

docs/en/datasets/detect/brain-tumor.md

@@ -8,6 +8,17 @@ keywords: Ultralytics, Brain Tumor dataset, object detection, YOLO, YOLO model t
 
 A brain tumor detection dataset consists of medical images from MRI or CT scans, containing information about brain tumor presence, location, and characteristics. This dataset is essential for training computer vision algorithms to automate brain tumor identification, aiding in early diagnosis and treatment planning.
 
+<p align="center">
+  <br>
+  <iframe loading="lazy" width="720" height="405" src="https://www.youtube.com/embed/ogTBBD8McRk"
+    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> Brain Tumor Detection using Ultralytics HUB
+</p>
+
 ## Dataset Structure
 
 The brain tumor dataset is divided into two subsets:

docs/en/guides/object-counting.md

@@ -10,16 +10,28 @@ keywords: Ultralytics, YOLOv8, Object Detection, Object Counting, Object Trackin
 
 Object counting with [Ultralytics YOLOv8](https://github.com/ultralytics/ultralytics/) involves accurate identification and counting of specific objects in videos and camera streams. YOLOv8 excels in real-time applications, providing efficient and precise object counting for various scenarios like crowd analysis and surveillance, thanks to its state-of-the-art algorithms and deep learning capabilities.
 
-<p align="center">
-  <br>
-  <iframe loading="lazy" width="720" height="405" src="https://www.youtube.com/embed/Ag2e-5_NpS0"
-    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> Object Counting using Ultralytics YOLOv8
-</p>
+<table>
+  <tr>
+    <td align="center">
+      <iframe loading="lazy" width="720" height="405" src="https://www.youtube.com/embed/Ag2e-5_NpS0"
+        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> Object Counting using Ultralytics YOLOv8
+    </td>
+    <td align="center">
+      <iframe loading="lazy" width="720" height="405" src="https://www.youtube.com/embed/Fj9TStNBVoY"
+        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> Classwise Object Counting using Ultralytics YOLOv8
+    </td>
+  </tr>
+</table>
 
 ## Advantages of Object Counting?