Unverified50% confidenceFactExact time
YOLOv8 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
1
Sources
50%
Confidence
Long-term
Relevance
7/13/2026
First Seen
Sources
SentinelCV：用现有摄像头实现AI跌倒检测的开源方案
Related Claims
UnverifiedYOLOv8 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78% similarUnverifiedYOLOv8 can achieve hundreds of frames per second on modern GPUs.74% 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71% 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.69% similarUnverifiedYOLOv3 introduced multi-scale prediction and residual networks; YOLOv4 integrated CSPNet and PANet.66% similar
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