Unverified50% confidenceFactExact time
Both YOLOv5 and YOLOv8 offer multiple scale variants ranging from nano (n) to extra-large (x)
1
Sources
50%
Confidence
Long-term
Relevance
9/1/2026
First Seen
Sources
Related Entities
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 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68% similarUnverifiedYOLOv3 introduced multi-scale prediction and residual networks; YOLOv4 integrated CSPNet and PANet.67% similarUnverifiedYOLOv3采用多尺度特征金字塔（FPN）66% similarUnverifiedYOLOv8-nano模型在中端NPU上可实现30FPS以上的推理帧率66% similar
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