Data Augmentation using Adversarial Networks for Tea Diseases Detection

Deep learning technology has a better result when trained using an abundant amount of data. However, collecting such data is expensive and time consuming.  On the other hand, limited data often be the inevitable condition. To increase the number of data, data augmentation is usually implemented.  By...

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Bibliographic Details
Main Authors: R. Sandra Yuwana, Fani Fauziah, Ana Heryana, Dikdik Krisnandi, R. Budiarianto Suryo Kusumo, Hilman F. Pardede
Format: Article
Language:English
Published: Indonesian Institute of Sciences 2020-08-01
Series:Jurnal Elektronika dan Telekomunikasi
Subjects:
gan
Online Access:https://www.jurnalet.com/jet/article/view/365