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Signed-off-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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Muhammad Rizwan Munawar 2024-08-30 05:52:10 +05:00 • committed by GitHub
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docs/en/guides/sahi-tiled-inference.md
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@ -9,7 +9,7 @@ keywords: YOLOv8, SAHI, Sliced Inference, Object Detection, Ultralytics, High-re
Welcome to the Ultralytics documentation on how to use YOLOv8 with [SAHI](https://github.com/obss/sahi) (Slicing Aided Hyper Inference). This comprehensive guide aims to furnish you with all the essential knowledge you'll need to implement SAHI alongside YOLOv8. We'll deep-dive into what SAHI is, why sliced inference is critical for large-scale applications, and how to integrate these functionalities with YOLOv8 for enhanced object detection performance.
<p align="center">
<img width="1024" src="https://raw.githubusercontent.com/obss/sahi/main/resources/sliced_inference.gif" alt="SAHI Sliced Inference Overview">
<img width="1024" src="https://github.com/ultralytics/docs/releases/download/0/sahi-sliced-inference-overview.avif" alt="SAHI Sliced Inference Overview">
</p>
## Introduction to SAHI
@ -51,8 +51,8 @@ Sliced Inference refers to the practice of subdividing a large or high-resolutio
<th>YOLOv8 with SAHI</th>
</tr>
<tr>
<td><img src="https://user-images.githubusercontent.com/26833433/266123241-260a9740-5998-4e9a-ad04-b39b7767e731.png" alt="YOLOv8 without SAHI" width="640"></td>
<td><img src="https://user-images.githubusercontent.com/26833433/266123245-55f696ad-ec74-4e71-9155-c211d693bb69.png" alt="YOLOv8 with SAHI" width="640"></td>
<td><img src="https://github.com/ultralytics/docs/releases/download/0/yolov8-without-sahi.avif" alt="YOLOv8 without SAHI" width="640"></td>
<td><img src="https://github.com/ultralytics/docs/releases/download/0/yolov8-with-sahi.avif" alt="YOLOv8 with SAHI" width="640"></td>
</tr>
</table>