A survey on Image Data Augmentation for Deep Learning

A survey on Image Data Augmentation for Deep Learning

Abstract Deep convolutional neural networks have performed remarkably well on many Computer Vision tasks. However, these networks are heavily reliant on big data to avoid overfitting. Overfitting refers to the phenomenon when a network learns a function with very high variance such as to perfectly m...

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Bibliographic Details
Main Authors: Connor Shorten, Taghi M. Khoshgoftaar
Format: Article
Language:English
Published: SpringerOpen 2019-07-01
Series:Journal of Big Data
Subjects:
Data Augmentation
Big data
Image data
Deep Learning
GANs
Online Access:http://link.springer.com/article/10.1186/s40537-019-0197-0

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