Method for Neural Network Detecting Changed Images of People's Faces Using CNN

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dc.contributor.authorМазурець, Олександр Вікторович
dc.contributor.authorPokhytun, A.
dc.contributor.authorMazurets, O.
dc.contributor.authorMolchanova, M
dc.contributor.authorTyschenko, O.
dc.date.accessioned2024-10-24T09:17:08Z
dc.date.available2024-10-24T09:17:08Z
dc.date.issued2024
dc.description.abstractMethod for detecting altered human face images using neural network technologies was proposed to process the input data, which is represented by a training set of face images for the training stage, a test set of images for verification, and a working face image for classification. The method includes the steps of training and evaluating the neural network using the training set of face images, as well as the process of detecting changes in the working face image. The created method for detecting modified images of human faces is designed to transform the input data in the form of a dataset of modified images of human faces and working images for classification into output data with the conclusion whether the photo is modified, as well as the types of modifications used.
dc.identifier.citationMethod for Neural Network Detecting Changed Images of People's Faces Using CNN. New Horizons in Scientific Research: Challenges and Solutions. Proceedings of the 1st International scientific and practical conference. October 21-23, 2024. Marseille, France. 2024. Pp. 35-40. URL: https://www.eoss-conf.com/wp-content/uploads/2024/10/Marseille_France_21.10.24.pdf
dc.identifier.urihttps://elar.khmnu.edu.ua/handle/123456789/16938
dc.language.isoen
dc.subject.udc004.8
dc.titleMethod for Neural Network Detecting Changed Images of People's Faces Using CNN
dc.typeСтаття
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