Research of methods and instrumental means of detection of objects in the territories of active hostilities

Abstract

In the qualification work, the actual scientific and practical problem of object detection in active combat zones was solved using the YOLOv5 neural network for this purpose. Solving this problem involves solving tasks such as creating a dataset using the Make Sense tool, training a model using Google Colab, and deploying and analyzing the trained model.