The integration of artificial intelligence (AI) into military capabilities has become a norm for major military power across the globe. Understanding how these AI models operate is essential for maintaining strategic advantages and ensuring security. This paper demonstrates an open-source methodology for analyzing military AI models through a detailed examination of the Zhousidun dataset, a Chinese-originated dataset that exhaustively labels critical components on American and Allied destroyers. By demonstrating the replication of a state-of-the-art computer vision model on this dataset, we illustrate how open-source tools can be leveraged to assess and understand key military AI capabilities. This methodology offers a robust framework for evaluating the performance and potential of AI-enabled military capabilities, thus enhancing the accuracy and reliability of strategic assessments.

翻译：人工智能（AI）融入军事能力已成为全球主要军事强国的常态。理解这些AI模型的运作方式对于保持战略优势和确保安全至关重要。本文通过详细考察周斯顿数据集——一个源自中国、详尽标注美国及其盟国驱逐舰关键部件的数据库——展示了一种分析军事AI模型的开源方法。通过演示在该数据集上复现一个最先进的计算机视觉模型，我们阐明了如何利用开源工具来评估和理解关键的军事AI能力。该方法为评估AI赋能军事能力的性能与潜力提供了一个稳健的框架，从而提升了战略评估的准确性和可靠性。