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

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

By: Yuxin Niu and  Zhongsheng Wang  
Open Access
|Mar 2024

Figures & Tables

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

EpochRecallmAP50mAP50:95
30.0620.0090.015
100.2590.2200.119
300.5070.5200.248
500.7530.7390.350
Language: English
Page range: 45 - 54
Published on: Mar 16, 2024
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2024 Yuxin Niu, Zhongsheng Wang, published by Xi’an Technological University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.