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Deep Learning Based Recognition of Lepidoptera Insects Cover

Deep Learning Based Recognition of Lepidoptera Insects

International Journal of Advanced Network, Monitoring and Controls
Volume 8 (2023): Issue 4 (December 2023)
By: Chao He and  Pingping Liu  
Open Access
|Mar 2024
Figures & tables

Figures & Tables

Figure 1.

Network structure of YOLOv7.

Figure 2.

Network structure of the E-ELAN layer.

Figure 3.

Network structure of the MPConv layer.

Figure 4.

IOU loss calculation process.

Figure 5.

Loss, Precision, Recall, mPA0.5 and mAP0.5-0.95 curves

Figure 6.

Lepidoptera Insect Detection Effect

YOLOv5m6, YOLOv5s6, YOLOv7 Performance Comparison

ArithmeticsmAP/%Speed
YOLOv5m678.6%22.36it/s
 YOLOv5s675.8%24.69it/s
  YOLOv779.5%33.08it/s
DOI: https://doi.org/10.2478/ijanmc-2023-0073 | Journal eISSN: 2470-8038
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Language: English
Page range: 20 - 28
Published on: Mar 16, 2024
Published by: Xi’an Technological University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Deep Learning,
Deep Neural Networks,
Yolov7,
Recognition of Lepidopteran Insects
Related subjects:
Computer sciences,
Computer sciences, other

© 2024 Chao He, Pingping Liu, published by Xi’an Technological University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 8 (2023): Issue 4 (December 2023)
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