Results 11 to 20 of about 7,122,625 (292)
Handwritten image augmentation [PDF]
CoRR, 2023 In this paper, we introduce Handwritten augmentation, a new data augmentation for handwritten character images. This method focuses on augmenting handwritten image data by altering the shape of input characters in training. The proposed handwritten augmentation is similar to position augmentation, color augmentation for images but a deeper focus on ...
N. Mahendran
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A survey on Image Data Augmentation for Deep Learning
Journal of Big Data, 2019 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
Connor Shorten, Taghi M. Khoshgoftaar
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Mathematics, 2023 Hand gesture recognition (HGR) is a challenging and fascinating research topic in computer vision with numerous daily life applications. In HGR, computers aim to identify and classify hand gestures. The limited diversity of the dataset used in HGR is due
Baiti-Ahmad Awaluddin +2 more
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Harnessing the power of diffusion models for plant disease image augmentation. [PDF]
Front Plant Sci, 2023 Introduction The challenges associated with data availability, class imbalance, and the need for data augmentation are well-recognized in the field of plant disease detection.
Muhammad A, Salman Z, Lee K, Han D.
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Biomedical image augmentation using Augmentor
Bioinformatics, 2019 Abstract Motivation Image augmentation is a frequently used technique in computer vision and has been seeing increased interest since the popularity of deep learning. Its usefulness is becoming more and more recognized due to deep neural networks requiring larger amounts of data to train, and because ...
Marcus D. Bloice +2 more
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Automated Categorization of Multiclass Welding Defects Using the X-ray Image Augmentation and Convolutional Neural Network. [PDF]
Sensors (Basel), 2023 The detection of weld defects by using X-rays is an important task in the industry. It requires trained specialists with the expertise to conduct a timely inspection, which is costly and cumbersome.
Say D, Zidi S, Qaisar SM, Krichen M.
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Menstrual cycle inspired latent diffusion model for image augmentation in energy production. [PDF]
Sci RepIn the energy production domain, image classification is critical for monitoring, diagnostics, and operational optimization tasks. Latent diffusion models (LDMs) have shown potential in generating diverse images during the augmentation process based on ...
Mahmoud GM +3 more
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Intraclass Image Augmentation for Defect Detection Using Generative Adversarial Neural Networks. [PDF]
Sensors (Basel), 2023 Surface defect identification based on computer vision algorithms often leads to inadequate generalization ability due to large intraclass variation. Diversity in lighting conditions, noise components, defect size, shape, and position make the problem ...
Sampath V +5 more
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A Comprehensive Survey of Image Augmentation Techniques for Deep Learning [PDF]
Pattern Recognition, 2022 Deep learning has been achieving decent performance in computer vision requiring a large volume of images, however, collecting images is expensive and difficult in many scenarios.
Mingle Xu +3 more
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Image Augmentation Techniques for Mammogram Analysis. [PDF]
J Imaging, 2022 Research in the medical imaging field using deep learning approaches has become progressively contingent. Scientific findings reveal that supervised deep learning methods’ performance heavily depends on training set size, which expert radiologists must ...
Oza P +4 more
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