Mobile Device Cosmetic Condition Determination by Using SNS-model

Student: Balchidi Gleb

Supervisor: Alexander Omelchenko

Faculty: St. Petersburg School of Physics, Mathematics, and Computer Science

Educational Programme: Big Data Analysis for Business, Economy, and Society (Master)

Year of Graduation: 2021

This work is devoted to the classification of three-dimensional objects based on their two-dimensional images. The article discusses the main approaches to working with three-dimensional objects. The main goal of the study was to efficiently aggregate information about a three-dimensional object from its two-dimensional images. The classification models were built on the basis of neural networks and transformer architectures.

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