shadow-cann/hispark-modelzoo-yolov5s

YOLOv5s

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，YOLOv5网络模型在继承了原有YOLO网络模型优点的基础上，具有更优的检测精度和更快的推理速度。本示例使用YOLOv5s。

Mirror Metadata

• Hugging Face repo: shadow-cann/hispark-modelzoo-yolov5s
• Portal model id: h6s908ugto00
• Created at: 2025-09-08 20:52:23
• Updated at: Unknown
• 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: 7.226M
• 计算量: 18.066GFLOPs

Files In This Repo

• yolov5s.pt (源模型 / 源模型下载; 源模型 / 源模型元数据)
• yolov5s.onnx (源模型 / 源模型下载; 源模型 / 源模型元数据)
• yolov5s.om (编译模型 / OM 元数据 / a8w8)
• 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=h6s908ugto00
• Upstream repository: https://gitee.com/HiSpark/modelzoo/tree/master/samples/samples_GPL/built-in/yolov5
• License reference: https://github.com/ultralytics/yolov5/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: 1701484647481346_yolov5s.jpg