YOLO11s

YOLO系列网络模型是最为经典的one-stage算法,也是目前工业领域使用最多的目标检测网络,YOLO11网络模型是YOLO系列的最新版本,在继承了原有YOLO网络模型优点的基础上,在架构和训练方法上进行了重大改进,具有更高的检测精度、速度和效率

Mirror Metadata

  • Hugging Face repo: shadow-cann/hispark-modelzoo-yolo11s
  • Portal model id: i9q7jrn16k00
  • Created at: 2025-12-26 09:54:03
  • Updated at: 2025-12-30 20:02:18
  • Category: 计算机视觉

Framework

  • PyTorch

Supported OS

  • OpenHarmony
  • Linux

Computing Power

  • Hi3403V100 SVP_NNN
  • Hi3403V100 NNN

Tags

  • 目标检测

Detail Parameters

  • 输入: 640x640
  • 参数量: 9.469M
  • 计算量: 23.805GFLOPs

Files In This Repo

  • yolo11s.pt (源模型 / 源模型下载; 源模型 / 源模型元数据)
  • yolo11s.onnx (源模型 / 源模型下载; 源模型 / 源模型元数据)
  • SVP_NNN_PC_V1.0.6.0.tgz (附加资源 / 附加资源)

Upstream Links

Notes

  • This repository was mirrored from the HiSilicon Developer Portal model card and local downloads captured on 2026-03-27.
  • File ownership follows the portal card mapping, not just filename similarity.
  • Cover image: 1701337666486274_yolo11s.jpg
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