摘要
阐述基于改进YOLOX模型检测茶叶嫩芽的过程,包括茶叶嫩芽数据集的构建与注意力机制的原理。试验结果表明,改进YOLOX算法大大提高了茶芽检测的准确性。
This paper describes the process of detecting tea sprouts based on the improved YOLOX model,including the construction of the tea sprout data set and the principle of the attention mechanism.The experimental results show that the improved YOLOX algorithm greatly improves the accuracy of tea sprout detection.
作者
肖辉
谢本亮
XIAO Hui;XIE Benliang(College of Big Data and Information Engineering,Guizhou University,Guizhou 550025,China)
出处
《集成电路应用》
2024年第1期48-49,共2页
Application of IC
关键词
图像处理
深度学习
茶叶嫩芽检测
image processing
deep learning
tea sprout detection