A Study on the Classification of Military Airplanes in Neighboring Countries Using Deep Learning and Various Data Augmentation Techniques

The analysis of foreign aircraft appearing suddenly in air defense identification zones requires a lot cost and time. This study aims to develop pre-trained model that can identify neighboring military based on photographs available the web present determine which corresponds aerial taken by allies. advantages this are reduce time required for classification proposing improve performance classifier data augmentation edge-detected images, cropping, flipping so on.