Designing and Implementing a Method of Data Augmentation Using Machine Learning


  • Aren K. Mayilyan National Polytechnic University of Armenia



Machine Learning, Convolutional Neural Networks, Data Augmentation, burn degrees


Efficiency of neural network (NN) models depend on the parameters given and the input data. Due to the complexity of environmental conditions and limitations the data for NN models, especially for the case of images, can be insufficient. To overcome this problem data augmentation has been used to enlarge the dataset. The task is to generate diverse set of images from a small set of images for NN training. Due to data augmentation transformation, 3105 new images out of 345 input data were created for classification, detection and image segmentation.


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(04 Oct 2021) [Online]. Available:

(04 Oct 2021) [Online]. Available:




How to Cite

Mayilyan, A. K. (2021). Designing and Implementing a Method of Data Augmentation Using Machine Learning. Mathematical Problems of Computer Science, 55, 54–61.