Sewage and Location Detection with Improved Cycle Generative Adversarial Network-Based Augmented Datasets and YOLOv5-BiFC

Sewage and Location Detection with Improved Cycle Generative Adversarial Network-Based Augmented Datasets and YOLOv5-BiFC

Sewage discharge from outfalls significantly contaminates the environment. However, due to the unique characteristics of environmental policy, challenges such as data acquisition difficulties arise. This study introduces an enhanced approach by utilizing an improved Cycle GAN, the core function of w...

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Bibliographic Details
Main Authors: Minkai Wang, Chenglin Li, Yunzhong Jiang, Mingxiang Yang
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Applied Sciences
Subjects:
sewage detection
deep learning
target detection
YOLOv5
generative adversarial network
Online Access:https://www.mdpi.com/2076-3417/14/21/9932
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