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Improve docs for Ultralytics version in benchmarks (#17925)

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Lakshantha Dissanayake 2024-12-03 13:14:50 -08:00 • committed by GitHub
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docs/en/guides/raspberry-pi.md
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@ -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