yolov8检测原理

YOLOv8是一种目标检测模型，它采用了一种基于Anchor-Free的检测方式。这种检测方式相比传统的Anchor-Based检测方式具有更高的检测精度和更快的检测速度。YOLOv8通过对输入图像进行特征提取，然后将提取到的特征图分为不同的网格。每个网格负责检测图像中是否存在目标以及目标的位置和类别。与此同时，YOLOv8还会预测每个网格中目标的边界框和类别概率。这样一来，YOLOv8可以实现快速而准确地检测出图像中的目标。 <span class="em">1</span><span class="em">2</span><span class="em">3</span>
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