TY - GEN
T1 - An Effective Supplementation of Insufficient Data by Generative Adversarial Networks
AU - Abdulraheem, Abdulkabir
AU - Jung, Im Y.
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Generative Adversarial Networks (GANs) can be used for data augmentation in order to improve the outcome and performance of machine learning models for automatic information retrieval. We looked into the challenge faced with limited blurry and distorted digit images from expiry dates datasets, which is required to improve digit recognition tasks on medicine, consumables, cosmetic products and tube-type ointments. For our dataset, Wasserstein GAN with a gradient norm penalty (WGAN-GP) was effective for data augmentation among the state-of-the-art GANs by visible inspection and Fréchet Inception Distance (FID) value comparison.
AB - Generative Adversarial Networks (GANs) can be used for data augmentation in order to improve the outcome and performance of machine learning models for automatic information retrieval. We looked into the challenge faced with limited blurry and distorted digit images from expiry dates datasets, which is required to improve digit recognition tasks on medicine, consumables, cosmetic products and tube-type ointments. For our dataset, Wasserstein GAN with a gradient norm penalty (WGAN-GP) was effective for data augmentation among the state-of-the-art GANs by visible inspection and Fréchet Inception Distance (FID) value comparison.
KW - Automatic Information Retrieval
KW - Data Augmentation
KW - Generative Adversarial Networks
KW - Machine learning
UR - http://www.scopus.com/inward/record.url?scp=85150678795&partnerID=8YFLogxK
U2 - 10.1109/BDCAT56447.2022.00030
DO - 10.1109/BDCAT56447.2022.00030
M3 - Conference contribution
AN - SCOPUS:85150678795
T3 - Proceedings - 2022 IEEE/ACM 9th International Conference on Big Data Computing, Applications and Technologies, BDCAT 2022
SP - 174
EP - 175
BT - Proceedings - 2022 IEEE/ACM 9th International Conference on Big Data Computing, Applications and Technologies, BDCAT 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 9th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, BDCAT 2022
Y2 - 6 December 2022 through 9 December 2022
ER -