shadow-cann/hispark-modelzoo-yolov8s

YOLOv8s

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，YOLOv8在之前的YOLO版本的基础上进行了改进，在继承了原有YOLO网络模型优点的基础上，引入了新的特效和优化，具有更高的检测精度。

Mirror Metadata

• Hugging Face repo: shadow-cann/hispark-modelzoo-yolov8s
• Portal model id: i9q65e4hec00
• Created at: 2025-12-26 09:47:43
• Updated at: 2025-12-30 20:02:17
• 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: 11.182M
• 计算量: 30.486GFLOPs

Files In This Repo

• yolov8s.pt (源模型 / 源模型下载; 源模型 / 源模型元数据)
• yolov8s.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=i9q65e4hec00
• Upstream repository: https://gitee.com/Hispark/modelzoo/tree/master/samples/samples_GPL/built-in/yolov8s
• 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: 1701430205546498_yolov8s.jpg