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...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
Indonesian Institute of Sciences
2020-08-01
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Series: | Jurnal Elektronika dan Telekomunikasi |
Subjects: | |
Online Access: | https://www.jurnalet.com/jet/article/view/365 |