Research on Pet Dog Species Identification Based on Convolution Neural Network

被引：1
|
作者：
Liu, Yanmei [1 ]
Chen, Yuda [2 ]
机构：
[1] China Geol Survey, Wuhan Inst Design & Sci, Wuhan, Peoples R China
[2] China Geol Survey, Wuhan Ctr Geol Survey, Wuhan, Peoples R China
来源：
2020 13TH INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN (ISCID 2020) | 2020年
关键词：
Convolutional Neural Network; VGG16; Pet Dog; image recognition;
D O I：
10.1109/ISCID51228.2020.00068
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
At present,the related research of image recognition is getting more and more popular,but in the process of research, the recognition effect of the model is not good enough and it is easy to misrecognize. This paper proposes an improvement solution for the above problems on the selection and construction of the model structure and the adjustment and optimization methods in the model training process. The final result achieves 96% recognition accuracy on the data composed of 9092 pet dog images.It is proved that the model by choosing deep-level network model and adopts regularization method to adjusting and optimizing the model, which can effectively improve model for image recognition effect.
引用
收藏
页码：278 / 281
页数：4
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