A network trained to categorize and label military aircraft using image classification -- utilizing multilayered perceptions, and convolutional neural networks (CNNs) to do so. This project explores the capabilities of AI libraries such as TensorFlow, PyTorch, Keras, and scikit-learn, as well as state-of-the-art deep learning techniques such as data augmentation, batch normalization, and optimization algorithms. We explore the potential for image classification to recognize patterns, distinguish objects, and achieve impressive accuracy in the military aerospace domain.