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Information × Registration Number 2123U011181, Article popup.category Препринт Title Development of a Machine Learning method for Detecting objects of military equipment on drone footage (AI translated) popup.author Hutsul DanyilHutsul Danyil popup.publication 01-01-2023 popup.source_user Український католицький університет popup.source https://hdl.handle.net/20.500.14570/4388 popup.publisher Description Visual object detection is one of the most common research topics in the sphere of computer vision research. It has a vast range of areas of application, from medical to automotive. One such area is the detection of objects from videos and images taken by unmanned aerial vehicles for both military and civilian purposes. With the start of the latest phase of the Russo-Ukranian war, a great number of videos, taken both military-grade and repurposed civilian drones, have begun appearing all over the internet. In this paper, we collect a number of such videos to create a dataset and train several object detection models with the goal of finding one best suited for the task. The code used in this paper is available on GitHub. popup.nrat_date 2025-11-05 Close