YOLOv6s
YOLOv6s 是一种轻量高效的 one-stage 目标检测模型。相比前代 YOLO 模型,YOLOv6s 采用了 EfficientRep 作为 backbone 和 Rep-PAN 作为颈部网络,兼顾了检测精度与推理速度,更适用于边缘计算场景。
Mirror Metadata
- Hugging Face repo: shadow-cann/hispark-modelzoo-yolov6s
- Portal model id: i9j2lpl16k00
- Created at: 2025-12-25 17:13:48
- 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: 18.571M
- 计算量: 45.588GFLOPs
Files In This Repo
- yolov6s.pt (源模型 / 源模型下载; 源模型 / 源模型元数据)
- yolov6s_opset11.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=i9j2lpl16k00
- Upstream repository: https://gitee.com/HiSpark/modelzoo/tree/master/samples/samples_GPL/built-in/yolov6s
- License reference: https://github.com/meituan/YOLOv6/blob/main/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: 1712131718316033_yolov6s.jpg
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