diff --git a/docs/en/models/yolo12.md b/docs/en/models/yolo12.md
index c0ec8abe..9614e5ac 100644
--- a/docs/en/models/yolo12.md
+++ b/docs/en/models/yolo12.md
@@ -10,7 +10,16 @@ keywords: YOLO12, attention-centric object detection, YOLO series, Ultralytics,
 
 YOLO12 introduces an attention-centric architecture that departs from the traditional CNN-based approaches used in previous YOLO models, yet retains the real-time inference speed essential for many applications. This model achieves state-of-the-art object detection accuracy through novel methodological innovations in attention mechanisms and overall network architecture, while maintaining real-time performance.
 
-![YOLO12 comparison visualization](https://github.com/user-attachments/assets/8009d90f-b43c-4a96-bb89-47ef843e7144)
+<p align="center">
+  <br>
+  <iframe loading="lazy" width="720" height="405" src="https://www.youtube.com/embed/mcqTxD-FD5M"
+    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> How to Use YOLO12 for Object Detection with the Ultralytics Package | Is YOLO12 Fast or Slow? 🚀
+</p>
 
 ## Key Features
 
@@ -29,6 +38,8 @@ YOLO12 introduces an attention-centric architecture that departs from the tradit
 - **Enhanced Efficiency**: Achieves higher accuracy with fewer parameters compared to many prior models, demonstrating an improved balance between speed and accuracy.
 - **Flexible Deployment**: Designed for deployment across diverse platforms, from edge devices to cloud infrastructure.
 
+![YOLO12 comparison visualization](https://github.com/user-attachments/assets/8009d90f-b43c-4a96-bb89-47ef843e7144)
+
 ## Supported Tasks and Modes
 
 YOLO12 supports a variety of computer vision tasks. The table below shows task support and the operational modes (Inference, Validation, Training, and Export) enabled for each:
diff --git a/docs/model_data.py b/docs/model_data.py
index 4d2e40ca..825515da 100644
--- a/docs/model_data.py
+++ b/docs/model_data.py
@@ -4,7 +4,7 @@ data = {
     "YOLO12": {
         "author": "Yunjie Tian, Qixiang Ye, David Doermann",
         "org": "University at Buffalo and University of Chinese Academy of Sciences",
-        "date": "2024-02-18",
+        "date": "2025-02-18",
         "arxiv": "https://arxiv.org/abs/2502.12524",
         "github": "https://github.com/sunsmarterjie/yolov12",
         "docs": "https://docs.ultralytics.com/models/yolo12/",