计算机科学
卷积神经网络
目标检测
对象(语法)
算法
人工智能
班级(哲学)
图像(数学)
计算机视觉
模式识别(心理学)
作者
I.V.S.L Haritha,M. Harshini,Shruti Patil,Jeethu Philip
标识
DOI:10.1109/iceca55336.2022.10009184
摘要
This research work aims to perform object detection by using the You Look Only Once (YOLO) method. This method is much efficient to the existing models in terms of speed and performance. Some of the algorithms do not scan all the regions in single forward propagation but in YOLO, the algorithm analyzes the entire image by predicting binding boxes using convolutional neural network and class opportunities. YOLO performs faster when compared to other algorithms.
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