摘要
近年来,越来越多的识图工具出现在了人们的视野中,如百度识图、搜狗识图、植物识别小程序等。“以图搜图”“拍照搜图”的形式,极大程度上简化了人们找到目标对象结果的过程,让人们的生活和工作更加便利。受此启发,研发一款能够识别各类交通工具的系统。该系统能够快速帮助分析出图像内的信息,并显示所属于交通工具类型。
In recent years, more and more map recognition tools have appeared in people’s vision, such as Baidu map recognition, Sogou map recognition, plant recognition applet, etc. The forms of “searching pictures with pictures” and “searching pictures with photos” greatly simplify the process of finding the results of the target object, and make people’s life and work more convenient. Inspired by this, we developed a system that can identify various vehicles. The system can quickly help analyze the information in the image and display the type of vehicles.
作者
李闻
常秋实
LI Wen;CHANG Qiushi(Harbin Huade University Harbin,Harbin Heilongjiang 150000,China;Harbin Xinguang Optoelectronic Technology Co.,Ltd.,Harbin,Heilongjiang 150000,China)
出处
《信息与电脑》
2022年第20期171-174,共4页
Information & Computer
关键词
卷积神经网络(CNN)
交通工具
图形分类
Convolutional Neural Network(CNN)
means of transportation
graphic classification