Synthetic Data Generation for Tasks of Recognizing Actions and Interaction Objects of an Agricultural Drone Operator

IF 0.9 Q4 OPTICS

Optical Memory and Neural Networks Pub Date : 2026-01-26 DOI:10.3103/S1060992X25602489

T. D. Kazarkin, L. A. Abakumov, K. S. Gerasimova, R. M. Khabibullin, L. A. Taskina

引用次数: 0

Abstract

This paper presents a prototype application for generating synthetic data used to train neural network models for recognizing actions and interaction objects of an agricultural drone operator. This application has been implemented with the ability to customize various generation parameters. The obtained generation results are saved as images and text files in YOLO format.

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农业无人机操作人员动作与交互对象识别任务的综合数据生成

本文提出了一个原型应用程序，用于生成用于训练神经网络模型的合成数据，以识别农业无人机操作员的动作和交互对象。这个应用程序已经实现了自定义各种生成参数的能力。得到的生成结果保存为YOLO格式的图像和文本文件。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Optical Memory and Neural Networks OPTICS-

CiteScore

1.50

自引率

11.10%

发文量

期刊介绍： The journal covers a wide range of issues in information optics such as optical memory, mechanisms for optical data recording and processing, photosensitive materials, optical, optoelectronic and holographic nanostructures, and many other related topics. Papers on memory systems using holographic and biological structures and concepts of brain operation are also included. The journal pays particular attention to research in the field of neural net systems that may lead to a new generation of computional technologies by endowing them with intelligence.