diff --git a/_news/announcement_5.md b/_news/announcement_5.md
index 0723b8c..a08064d 100644
--- a/_news/announcement_5.md
+++ b/_news/announcement_5.md
@@ -16,6 +16,6 @@ Meet our dedicated team:
 2. Thinh V. Le: Undergraduate researcher at the University of Information Technology, VNU-HCM
 3. Hung Ba Ngo: Postdoctoral researcher at the Graduate School of Data Science, Chonnam National University
 
-![](assets/img/upar-certificate.jpg)
+![](https://caodoanh2001.github.io/assets/img/upar-certificate.jpg)
 
 Furthermore, we are honored to share that our paper presenting this groundbreaking solution, titled "C2T-Net: Cross-Fused Transformer-Style Networks for Pedestrian Attribute Recognition," has been accepted, and we will be delivering an oral presentation at the WACV2024-RWS Workshop. This recognition underscores the innovation and impact of our work in advancing the field of pedestrian attribute recognition.