shadow-cann/hispark-modelzoo-yolov8l

YOLOv8l

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，YOLOv8l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-yolov8l
• Portal model id: h94sd5f0v800
• Created at: 2025-09-15 22:03:30
• Updated at: Unknown
• Category: 计算机视觉

Framework

• PyTorch

Supported OS

• OpenHarmony
• Linux

Computing Power

• Hi3403V100 SVP_NNN

Tags

• 检测

Detail Parameters

• 输入: 640x640
• 参数量: 43.694M
• 计算量: 170.256GFLOPs

Files In This Repo

• yolov8l.pt (源模型 / 源模型下载; 源模型 / 源模型元数据)
• yolov8l.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=h94sd5f0v800
• Upstream repository: https://gitee.com/Hispark/modelzoo/tree/master/samples/samples_GPL/built-in/yolov8l
• 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: 1701422771011587_yolov8l.jpg