Krasnodar, Krasnodar, Russian Federation
UDC 528.44
The scientific article discusses the features of marking real estate objects obtained on orthophotos using the Label Studio tool, as well as the introduction of artificial intelligence into software to improve work with spatial data and the creation of an appropriate methodology. The study presents the stages of marking, including information preparation, interface setup, as well as methods and technologies that help improve accuracy, efficiency and optimization, simplify data application. Users will be able to solve various types of problems, such as classification, segmentation, detection and tagging, which allow you to accurately mark the boundaries of real estate objects and reduce work time. The implementation of the practical part provides an analysis of the obtained research results, which is aimed at solving the problem of large-scale determination of accurate information about spatial data. The tool is easy to use and supports integration with various machine learning systems. Using annotated data to train the detection model, it is possible to provide automated selection of real estate boundaries. The obtained research results show that the use of Label Studio contributes to the development and expansion of capabilities for the development of remote sensing projects. The article will be relevant to specialists involved in geoinformation technologies, orthophotography, image interpretation, and also those reviewing information about real estate objects.
real estate objects, artificial intelligence, data markup, spatial data, machine learning, orthophotos
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