Selective Augmentation to Create a Balance Dataset Based on Photometric Variation

Dataset quality is an integral aspect of image object detection. Consequently, poor-quality datasets are often blamed for limiting model performance. Conventional convolutional neural network models attempt to address the model performance issue and have achieved high accuracy; however, these models...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Saraswathi Sivamani, Sun Il Chon, Ji Hwan Park
Format:	Article
Language:	English
Published:	IEEE 2024-01-01
Subjects:	Selective augmentation photometric variation image processing balance dataset
Online Access:	https://ieeexplore.ieee.org/document/10620976/