Comparative Study on Distributed Lightweight Deep Learning Models for Road Pothole Detection

Comparative Study on Distributed Lightweight Deep Learning Models for Road Pothole Detection

This paper delves into image detection based on distributed deep-learning techniques for intelligent traffic systems or self-driving cars. The accuracy and precision of neural networks deployed on edge devices (e.g., CCTV (closed-circuit television) for road surveillance) with small datasets may be...

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Bibliographic Details
Main Authors: Jung, E.-S (Author), Tahir, H. (Author)
Format: Article
Language:English
Published: MDPI 2023
Subjects:
Comparatives studies
Deep learning
distributed deep-learning
Distributed deep-learning
distributed edge AI/ML
Distributed edge AI/ML
distributed hybrid model training
Distributed hybrid model training
Hybrid model
Image detection
Intelligent traffic systems
Learning models
Learning systems
Learning techniques
Model training
Pipelines
Roads and streets
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