YOLOv8s-seg

YOLOv8s-seg 是一种轻量高效的 one-stage 实例分割模型。相比前代 YOLO 模型,YOLOv8s-seg 采用 C2f 作为 backbone 和 PAFPN 作为颈部网络,结合 “原型掩码 + 掩码系数” 的分割头设计,在保证实时推理速度的同时实现像素级实例分割,适用于轻量化边缘部署场景。

Mirror Metadata

  • Hugging Face repo: shadow-cann/hispark-modelzoo-yolov8s-seg
  • Portal model id: i9iei09pec00
  • Created at: 2025-12-25 15:45:54
  • Updated at: 2025-12-30 21:27:16
  • Category: 计算机视觉

Framework

  • PyTorch

Supported OS

  • OpenHarmony
  • Linux

Computing Power

  • Hi3403V100 SVP_NNN
  • Hi3403V100 NNN

Tags

  • 分割

Detail Parameters

  • 输入: 640x640
  • 参数量: 11.853M
  • 计算量: 44.864GFLOPs

Files In This Repo

  • yolov8s-seg.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: 1719623665909762_yolov8s-seg.jpg
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