Unverified50% confidenceFactExact time
YOLOv8 offers different model sizes—n/s/m/l/x—allowing a trade-off between accuracy and speed.
1
Sources
50%
Confidence
Long-term
Relevance
10/12/2026
First Seen
Sources
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Related Claims
UnverifiedYOLOv8 模型家族从 YOLOv8n（约 3.2M 参数）到 YOLOv8x（约 68M 参数）覆盖从树莓派到高性能 GPU 的硬件谱系72% similarUnverifiedYOLOv8 模型分为 nano 到 x 多个规格，YOLOv8s 在边缘设备上可实现实时推理69% similarUnverified相比YOLOv8，YOLOv11在模型架构上引入了C3k2模块和SPPF改进，在保持检测精度的同时降低了参数量和计算量69% similarUnverifiedSince the release of the first version in 2016, the YOLO series has undergone multiple iterations from YOLOv1 to YOLOv10, achieving inference speeds of 100+ FPS.66% similar
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