计算机科学
水准点(测量)
人工智能
范围(计算机科学)
图像(数学)
集合(抽象数据类型)
图像处理
视觉对象识别的认知神经科学
特征提取
计算机视觉
大地测量学
程序设计语言
地理
作者
Yuan Li,Li Mao,Yuancheng Man,Yu Cao
标识
DOI:10.1109/prai59366.2023.10332023
摘要
With the rapid development of artificial intelligence technology, the application scope of intelligent unmanned systems is expanding. To evaluate the perception ability of intelligent unmanned systems, it is important to solve the problem of insufficient test methods and tools related to image recognition, so it is necessary to study the verification technology of image recognition algorithms. We have developed a testing tool, which uses containerization technology to package the image recognition model and the running environment into image files and run them on the same hardware platform. We choose two image recognition algorithms, build a benchmark data set, and use testing tools to verify the performance of the algorithms.
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