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
相关论文
共 50 条
  • [31] Violence Detection Method Based on Convolution Neural Network and Trajectory
    Li, Jianxin
    Liu, Jie
    Li, Chao
    Cao, Wenliang
    Li, Bin
    Jiang, Fei
    Huang, Jinyu
    Guo, Yingxia
    Liu, Yang
    JOURNAL OF INFORMATION SCIENCE AND ENGINEERING, 2023, 39 (04) : 777 - 796
  • [32] Bearing fault diagnosis based on optimal convolution neural network
    Sun, Yongjian
    Li, Shaohui
    MEASUREMENT, 2022, 190
  • [33] Target Detection Based on Faster Region Convolution Neural Network
    Lu Benyuan
    Zhuo Zhenfu
    Han Yongsai
    Zhang Lichao
    LASER & OPTOELECTRONICS PROGRESS, 2021, 58 (22)
  • [34] Recognition Algorithm Based on Convolution Neural Network for the Mechanical Parts
    Duan Suolin
    Yin Congcong
    Liu Maomao
    ADVANCED MANUFACTURING AND AUTOMATION VIII, 2019, 484 : 337 - 347
  • [35] Image Classification Based on Image Hash Convolution Neural Network
    Chen, Yaoxing
    Yan, Yunyi
    Zhao, Dan
    INTELLIGENT DATA ANALYSIS AND APPLICATIONS, (ECC 2016), 2017, 535 : 61 - 68
  • [36] Identification of Traffic Index Time Series Pattern by Using Convolution Neural Network
    Lu J.
    Zhang X.
    Zhang J.
    Guo X.
    Zhang Y.
    Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University, 2020, 45 (12): : 1981 - 1988
  • [37] Hybridized Convolution Neural Network and Multiclass-SVM Model for Writer Identification
    Elbarawy, Yomna M.
    Ghonaim, Wafaa A.
    ENGINEERING LETTERS, 2021, 29 (01) : 317 - 326
  • [38] Convolution Neural Network Efficiency Research in Gender and Age Classification From Speech
    Kuchebo, Anna, V
    Bazanov, Vadim V.
    Kondratev, Igor
    Kataeva, Anastasia M.
    PROCEEDINGS OF THE 2021 IEEE CONFERENCE OF RUSSIAN YOUNG RESEARCHERS IN ELECTRICAL AND ELECTRONIC ENGINEERING (ELCONRUS), 2021, : 2145 - 2149
  • [39] Improvement and Assessment of Convolutional Neural Network for Tree Species Identification Based on Bark Characteristics
    Cui, Zhelin
    Li, Xinran
    Li, Tao
    Li, Mingyang
    FORESTS, 2023, 14 (07):
  • [40] A New Accelerator for Convolution Neural Network
    Wu, Fan
    Song, Jie
    Zhuang, Haoran
    2021 PROCEEDINGS OF THE 40TH CHINESE CONTROL CONFERENCE (CCC), 2021, : 7982 - 7985
12345