DEVELOPMENT OF A MODEL OF OBJECT RECOGNITION IN IMAGES BASED ON THE «TRANSFER LEARNING» METHOD

Abstract

This article is devoted to the study of “transfer learning” and the development of an object recognition model in images based on the “Transfer learning” method. Apartment creation software and Python packages, Yolov5 algorithm and roboflow.com used website data. In the process of work, a model was developed for recognizing objects in images based on the “Transfer learning” method, and the resulting model was tested

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Identifiers

DOI

10.5281/zenodo.7392902

Citations and references