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Journal of Imaging, Volume 9, Issue 10
October 2023 - 41 articles
Cover Story: Data augmentation is a fundamental machine learning technique that expands the size of training datasets. In recent years, the development of several libraries has simplified the utilization of diverse data augmentation strategies for different tasks. Through a curated taxonomy, we present an organized classification of the different approaches employed by these libraries for computer vision tasks. To ensure the accessibility of this valuable information, a dedicated public website named DALib has been created. By offering this comprehensive resource, we aim to empower practitioners and contribute to the advancement of computer vision research and applications through the effective utilization of data augmentation techniques. View this paper
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J. Imaging - ISSN 2313-433X