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Question Regarding Performance Gap Between Custom and ST Pretrained YOLOv8 Models

VicChang
Associate

Dear ST team,

I have followed the official tutorial:
How to deploy YOLOv8/YOLOv5 object detection models
and successfully built the deployment pipeline using Ultralytics yolov8n.pt.

However, I’ve noticed a significant performance gap between my converted model and the pre-optimized model provided by ST, in terms of inference speed under the same environment.

Am I missing any optimization steps during the export process?
Are there any recommended configurations or parameters to match the official model’s performance?

Thank you for your support.

 

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截圖 2025-06-22 晚上10.58.49.png

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