shadow-cann/hispark-modelzoo-yolo11s-seg

YOLO11s-seg

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。YOLO11s-seg作为实例分割的模型，比检测模型更进一步，包括识别图像中的各个对象并将它们与图像的其余部分分割开来。

Mirror Metadata

• —Hugging Face repo: shadow-cann/hispark-modelzoo-yolo11s-seg
• —Portal model id: i9j5c2fl6k00
• —Created at: 2025-12-25 17:25:35
• —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: 10.123M
• —计算量: 38.183GFLOPs

Files In This Repo

• —yolo11s-seg.pt (源模型 / 源模型元数据)
• —yolo11s-seg.onnx (源模型 / 源模型元数据)
• —yolo11s-seg.om (编译模型 / OM 元数据 / A16W8)
• —yolo11s-segdlitefp16.om (编译模型 / OM 元数据 / F16)
• —SVPNNNPC_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=i9j5c2fl6k00
• —Upstream repository: https://gitee.com/Hispark/modelzoo/tree/master/samples/samples_GPL/built-in/yolo11s-seg
• —License reference: https://github.com/ultralytics/ultralytics/blob/master/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: 1701430507536385_yolo11s-seg.jpg