基于改进YOLOX的茶叶嫩芽检测方法分析
Analysis of Improved YOLOX Based Tea Sprout Detection
肖辉 1谢本亮1
作者信息
- 1. 贵州大学 大数据与信息工程学院,贵州 550025
- 折叠
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.
Abstract
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.
关键词
图像处理/深度学习/茶叶嫩芽检测Key words
image processing/deep learning/tea sprout detection引用本文复制引用
出版年
2024
NETL
NSTL
维普
万方数据