GAN-Based Data Augmentation with Vehicle Color Changes to Train a Vehicle Detection CNN

GAN-Based Data Augmentation with Vehicle Color Changes to Train a Vehicle Detection CNN

Object detection is a challenging task that requires a lot of labeled data to train convolutional neural networks (CNNs) that can achieve human-level accuracy. However, such data are not easy to obtain, as they involve significant manual work and costs to annotate the objects in images. Researchers...

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Bibliographic Details
Main Authors: Aroona Ayub, HyungWon Kim
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Electronics
Subjects:
convolutional neural network (CNN)
generative adversarial network (GAN)
data augmentation
generative models
object detection models
Online Access:https://www.mdpi.com/2079-9292/13/7/1231

Internet

https://www.mdpi.com/2079-9292/13/7/1231

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