YOLOv10s

YOLOv10 引入了一种新的实时目标检测方法,解决了以前YOLO 版本在后处理和模型架构方面的不足。通过消除非最大抑制NMS和优化各种模型组件,YOLOv10 显著降低了计算开销。本示例基于YOLOv10s。

Mirror Metadata

  • Hugging Face repo: shadow-cann/hispark-modelzoo-yolov10s
  • Portal model id: j8pjtko0i000
  • Created at: 2026-04-01 15:59:40
  • Updated at: 2026-04-08 16:07:06
  • Category: 计算机视觉

Framework

  • PyTorch

Supported OS

  • OpenHarmony
  • Linux

Computing Power

  • Hi3403V100 SVP_NNN

Tags

  • 目标检测

Detail Parameters

  • 输入: 640x640
  • 参数量: 7.291M
  • 计算量: 24.073GFLOPs

Files In This Repo

  • yolov10s.om (编译模型 / A16W8; 编译模型 / OM 元数据 / A16W8)
  • yolov10s_source-model.onnx (源模型 / 源模型下载)
  • yolov10s_source-model.pt (源模型 / 源模型下载)
  • yolov10s.onnx (源模型 / 源模型元数据)
  • yolov10s.pt (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.
Downloads last month

-

Downloads are not tracked for this model. How to track
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support