From 21162bd870444550286983a601afbfb142f4c198 Mon Sep 17 00:00:00 2001
From: Lakshantha Dissanayake <lakshanthad@yahoo.com>
Date: Tue, 3 Dec 2024 13:14:50 -0800
Subject: [PATCH] Improve docs for Ultralytics version in benchmarks (#17925)

---
 docs/en/guides/raspberry-pi.md | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/docs/en/guides/raspberry-pi.md b/docs/en/guides/raspberry-pi.md
index ef41d0f8..5e173db2 100644
--- a/docs/en/guides/raspberry-pi.md
+++ b/docs/en/guides/raspberry-pi.md
@@ -2,6 +2,7 @@
 comments: true
 description: Learn how to deploy Ultralytics YOLO11 on Raspberry Pi with our comprehensive guide. Get performance benchmarks, setup instructions, and best practices.
 keywords: Ultralytics, YOLO11, Raspberry Pi, setup, guide, benchmarks, computer vision, object detection, NCNN, Docker, camera modules
+benchmark_version: 8.3.39
 ---
 
 # Quick Start Guide: Raspberry Pi with Ultralytics YOLO11
@@ -144,7 +145,7 @@ We have only included benchmarks for YOLO11n and YOLO11s models because other mo
 
 <figure style="text-align: center;">
     <img width="800" src="https://github.com/ultralytics/assets/releases/download/v0.0.0/rpi-yolo11-benchmarks.avif" alt="YOLO11 benchmarks on RPi 5">
-    <figcaption style="font-style: italic; color: gray;">Benchmarked with Ultralytics v8.3.39</figcaption>
+    <figcaption style="font-style: italic; color: gray;">Benchmarked with Ultralytics {{ benchmark_version }}</figcaption>
 </figure>
 
 ### Detailed Comparison Table
@@ -183,7 +184,7 @@ The below table represents the benchmark results for two different models (YOLO1
         | MNN           | ✅      | 36.2              | 0.7409      | 273.032                |
         | NCNN          | ✅      | 36.2              | 0.7419      | 194.858                |
 
-    Benchmarked with Ultralytics `v8.3.39`
+    Benchmarked with Ultralytics {{ benchmark_version }}
 
 ## Reproduce Our Results