基于OBE理念的Yolov5算法实例教学研究  

Study of Teaching Yolov5 Algorithm Examples Based on OBE Concepts

作　　者：朱洪浩[1] 曹建磊 郭城 王娇宇 陶珂 ZHU Hong-hao;CAO Jian-lei;GUO Cheng;WANG Jiao-yu;TAO Ke(School of Computer and Information Engineering,Bengbu University,Bengbu,233030,Anhui)

机构地区：[1]蚌埠学院计算机与信息工程学院,安徽蚌埠233030

出　　处：《蚌埠学院学报》2024年第5期118-122,128,共6页Journal of Bengbu University

基　　金：安徽省高等学校省级质量工程重点项目(2022xqhz044,2022sdxx020)。

摘　　要：针对深度学习课程理论知识多、教师讲解困难、学生难于理解的教学实际,重点研究深度学习课程中有关图像处理的最新算法Yolov5的实例教学策略,以提高学生对深度学习课程的学习兴趣,增强学生发现问题并解决问题的能力。本实例讲解了基于OBE理念的Yolov5口罩佩戴识别算法,首先进行教学方法阐述与分析;其次进行教学实例的选择和算法的实现讲解;最后通过教学反思和教学评价促进教学质量的提升。Aiming at the teaching reality that deep learning courses have a lot of theoretical knowledge,teachers’explanations are difficult,and students are hard to understand,it focuses on the teaching strategy of the example of Yolov5,the latest algorithm about image processing in deep learning courses,to improve students’interest in learning deep learning courses,and to enhance student’s ability to discover problems and solve them.The example explains the Yolov5 mask-wearing recognition algorithm based on the OBE concept,firstly,the teaching method is elaborated and analyzed,secondly,the selection of teaching examples and the implementation of the algorithm are explained,finally,the teaching quality is promoted through teaching reflection and teaching evaluation.

关 键 词：OBE 深度学习 Yolov5算法 实例教学 

分 类 号：G642[文化科学—高等教育学]