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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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Systematic Review

55 Citations

10,406 Views

29 Pages

A Systematic Review on Deep Learning with CNNs Applied to Surface Defect Detection

Esteban Cumbajin,
Nuno Rodrigues,
Paulo Costa,
Rolando Miragaia,
Luís Frazão,
Nuno Costa,
Antonio Fernández-Caballero,
Jorge Carneiro,
Leire H. Buruberri and
António Pereira

J. Imaging2023, 9(10), 193;https://doi.org/10.3390/jimaging9100193

25 September 2023

Surface defect detection with machine learning has become an important tool in industries and a large field of study for researchers or workers in recent years. It is necessary to have a simplified source of information that helps us to better focus...

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J. Imaging - ISSN 2313-433X

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