CLASSIFICATION MODEL OF MILITARY AVIATION BASED ON NEURAL NETWORK ENSEMBLE

Abstract

The paper presents a model for classifying military aviation based on images using an ensemble of neural networks. Popular actual convolutional neural networks (CNN) served as the base models and were fined-tuned on relevant data. An ensemble of models was utilized to improve performance achieving high accuracy with reasonable compute requirements.