Yolov8s-World

Yolov8s-World 是 Ultralytics 推出的一种基于 YOLO-World 架构的轻量级目标检测模型,它通过视觉-语言预训练实现了无需针对特定类别进行训练即可识别任意物体的 “开放词汇” (Open-Vocabulary) 实时检测功能。

Mirror Metadata

  • Hugging Face repo: shadow-cann/hispark-modelzoo-yolov8s-world
  • Portal model id: j93dspootk00
  • Created at: 2026-04-02 14:51:26
  • Updated at: 2026-04-08 16:07:07
  • 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

  • 计算量: 34.636 GFLOPs
  • 输入: 640x640
  • 参数量: 12.746 M

Files In This Repo

  • yolov8s-worldv2.om (编译模型 / A8W8; 编译模型 / OM 元数据 / A8W8)
  • yolov8s-worldv2_om-FP16.om (编译模型 / FP16)
  • yolov8s-worldv2_svp_nnn.onnx (源模型 / 源模型下载; 源模型 / 源模型元数据)
  • yolov8s-worldv2.pt (源模型 / 源模型下载; 源模型 / 源模型元数据)
  • yolov8s-worldv20_nnn.onnx (源模型 / 源模型下载; 源模型 / 源模型元数据)

Upstream Links

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.
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