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Research on Object Detection in Animal Images Based on Convolutional Neural Networks

Yuxin Niu

Yuxin Niu

School of Computer Science and Engineering Xi’an Technological UniversityXi’an, China
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Niu, Yuxin
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Zhongsheng Wang

Zhongsheng Wang

State and Provincial Joint Engineering Lab. of Advanced Network, Monitoring and Control Xi′an Technological UniversityXi′an, China
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Wang, Zhongsheng
  
Mar 16, 2024
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Published Online: Mar 16, 2024
Page range: 45 - 54
DOI: https://doi.org/10.2478/ijanmc-2023-0076
Keywords
© 2023 Yuxin Niu et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1.

CNN network architecture
CNN network architecture

Figure 2.

Structure of YOLOv5s
Structure of YOLOv5s

Figure 3.

Adaptive picture scaling
Adaptive picture scaling

Figure 4.

Focus structure
Focus structure

Figure 5.

Structure of FPN+PAN
Structure of FPN+PAN

Figure 6.

Flowchart of the experiment
Flowchart of the experiment

Figure 7.

Confusion matrix
Confusion matrix

Figure 8.

PR curve
PR curve

Figure 9.

RCC curve
RCC curve

Figure 10.

Training results of the algorithm on the data set
Training results of the algorithm on the data set

Figure 11.

Test results of different types of animals(1)
Test results of different types of animals(1)

Figure 12.

Test results of different types of animals(2)
Test results of different types of animals(2)

Different rounds of training

Epoch Recall mAP50 mAP50:95
3 0.062 0.009 0.015
10 0.259 0.220 0.119
30 0.507 0.520 0.248
50 0.753 0.739 0.350
Language:
English
Publication timeframe:
4 times per year
Journal Subjects:
Computer Sciences, Computer Sciences, other
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