Update README.md

README.md

@@ -258,13 +258,25 @@ configs:
         path: "splits/cs/up_fall/test.csv"
     description: "UP-Fall dataset with cross-subject splits"
 ---
-# OmniFall: A Unified Benchmark for Staged-to-Wild Fall Detection
-
 [![License: CC BY-NC-SA 4.0](https://img.shields.io/badge/License-CC%20BY--NC--SA%204.0-lightgrey.svg)](https://creativecommons.org/licenses/by-nc-sa/4.0/)
+</br>
+<a href="https://arxiv.org/abs/2505.19889">
+  <img src="https://img.shields.io/badge/arXiv-2505.19889-b31b1b.svg?logo=arXiv" alt="arXiv" style="height:20px;">
+</a>
+</br>
+<a href="https://simplexsigil.github.io/omnifall/">
+  <img src="https://img.shields.io/badge/Omnifall-Project_Page-2FA7C9.svg" alt="arXiv" style="height:20px;">
+</a>
+
+# OmniFall: A Unified Benchmark for Staged-to-Wild Fall Detection
 
 This repository contains the annotation and split definitions for OmniFall, a comprehensive benchmark that unifies eight public indoor fall datasets under a consistent ten-class annotation scheme, complemented by the OOPS-Fall benchmark of genuine accidents captured in the wild.
 
-**Paper:** [OmniFall: A Unified Staged-to-Wild Benchmark for Human Fall Detection](https://arxiv.org/abs/2505.19889)
+[OmniFall: A Unified Staged-to-Wild Benchmark for Human Fall Detection](https://arxiv.org/abs/2505.19889)
+
+Also have a look for additional information on our project page:
+
+[OmniFall Project Page](https://simplexsigil.github.io/omnifall/)
 
 ## Overview