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
- Portal card: https://gitbubble.github.io/hisilicon-developer-portal-mirror/model-detail.html?id=i9iei09pec00
- Upstream repository: https://gitee.com/HiSpark/modelzoo/tree/master/samples/samples_GPL/built-in/yolov8s-seg
- License reference: https://github.com/ultralytics/ultralytics/blob/main/LICENSE
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
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