YOLOv6s

YOLOv6s 是一种轻量高效的 one-stage 目标检测模型。相比前代 YOLO 模型,YOLOv6s 采用了 EfficientRep 作为 backbone 和 Rep-PAN 作为颈部网络,兼顾了检测精度与推理速度,更适用于边缘计算场景。

Mirror Metadata

  • Hugging Face repo: shadow-cann/hispark-modelzoo-yolov6s
  • Portal model id: i9j2lpl16k00
  • Created at: 2025-12-25 17:13:48
  • 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: 18.571M
  • 计算量: 45.588GFLOPs

Files In This Repo

  • yolov6s.pt (源模型 / 源模型下载; 源模型 / 源模型元数据)
  • yolov6s_opset11.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: 1712131718316033_yolov6s.jpg
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