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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

Figure 1.

Network structure of YOLOv7.
Network structure of YOLOv7.

Figure 2.

Network structure of the E-ELAN layer.
Network structure of the E-ELAN layer.

Figure 3.

Network structure of the MPConv layer.
Network structure of the MPConv layer.

Figure 4.

IOU loss calculation process.
IOU loss calculation process.

Figure 5.

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

Figure 6.

Lepidoptera Insect Detection Effect
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.

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