图像识别模型作为人工智能的重要分支，在野生动物保护领域展现出巨大的应用潜力。本文首先概述了图像识别模型的基本类型，随后详细阐述了野生动物图像识别模型的构建流程，包括数据采集、预处理、模型训练等关键步骤，最后探讨了图像识别模型在野生动物保护中的具体应用场景。研究表明，图像识别模型能够显著提升野生动物保护的效率与精度，为生物多样性保护提供强有力的技术支持。未来，随着技术的不断进步，图像识别模型将在野生动物保护中发挥更加重要的作用。

 As an important branch of artificial intelligence, image recognition model shows great application potential in the field of wildlife protection. This paper first outlines the basic types of image recognition models, and then elaborates the construction process of wildlife image recognition models, including data acquisition, preprocessing, model training and other key steps. Finally, the application scenarios of image recognition model in wildlife protection are discussed. The research shows that the image recognition model can significantly improve the efficiency and accuracy of wildlife conservation, and provide a strong technical support for biodiversity conservation. In the future, with the continuous progress of technology, image recognition models will play a more important role in wildlife protection.