Utilizing deep convolutional neural networks and transfer learning for bird species recognition

Junwei Feng; Jiawei Li; Mingze Li; Yuhang Zhao; Yongxin Jiang; Yixiao Zhang; Fayuan Li

doi:10.1117/12.3038576

7 August 2024 Utilizing deep convolutional neural networks and transfer learning for bird species recognition

Junwei Feng, Jiawei Li, Mingze Li, Yuhang Zhao, Yongxin Jiang, Yixiao Zhang, Fayuan Li

Proceedings Volume 13229, Seventh International Conference on Advanced Electronic Materials, Computers, and Software Engineering (AEMCSE 2024); 1322935 (2024) https://doi.org/10.1117/12.3038576
Event: Seventh International Conference on Advanced Electronic Materials, Computers, and Software Engineering (AEMCSE 2024), 2024, Nanchang, China

Abstract

Birds play an important role in the ecosystem. Using machine automatic recognition of bird species can be used to monitor bird activities, help researchers understand bird behavior, and have important significance for the protection of wild resources and scientific research of bird species. This paper designs a method for automatic recognition of bird species based on deep learning. We extract image features based on pre-trained EfficientNet-B0 and use MLP for classification. Our method achieves an accuracy of 87.3% on the validation set, which exceeds human recognition accuracy for complex bird species.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Junwei Feng, Jiawei Li, Mingze Li, Yuhang Zhao, Yongxin Jiang, Yixiao Zhang, and Fayuan Li "Utilizing deep convolutional neural networks and transfer learning for bird species recognition", Proc. SPIE 13229, Seventh International Conference on Advanced Electronic Materials, Computers, and Software Engineering (AEMCSE 2024), 1322935 (7 August 2024); https://doi.org/10.1117/12.3038576

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