Bird Species Identification Using YOLO Neural Network

DOI

10.2991/978-94-6239-648-7_14How to use a DOI?

Keywords

YOLO; Computer Vision; Bird Species

Abstract

Ecological conservation efforts increasingly rely on biodiversity indicators, with bird populations serving as critical sentinels of ecosystem health. Bird conservation is fundamental to maintaining biodiversity and health. Thus, bird species monitoring constitutes a crucial part of conservation efforts. Because of the situation that traditional bird identification methods have low efficiency and the insufficient focus of existing deep learning models on fine-grained species recognition, this study applies the version 11 of You Only Look Once (YOLO) neural network for bird species identification. Experiments employ two distinct datasets with varying background complexities and target quantities to simulate ideal and realistic scenarios. Under ideal conditions, the model maintains 100% TOP5 accuracy. In simulated realistic scenarios, the model achieves 76.1% TOP5 accuracy. This research demonstrates that YOLOv11 exhibits high efficiency and strong generalization capabilities for bird species identification tasks, providing a feasible technical solution for ecological monitoring. The solution is a robust, automated technical solution that significantly enhances the feasibility and scalability of large-scale bird monitoring programs, ultimately strengthening data-driven decision-making in ecological conservation and habitat management practices.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Yawei Li
PY  - 2026
DA  - 2026/04/24
TI  - Bird Species Identification Using YOLO Neural Network
BT  - Proceedings of the International Workshop on Advances in Deep Learning for Image Analysis and Computer Vision (IWADIC 2025)
PB  - Atlantis Press
SP  - 118
EP  - 127
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6239-648-7_14
DO  - 10.2991/978-94-6239-648-7_14
ID  - Li2026
ER  -