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Inicio  /  Applied Sciences  /  Vol: 10 Par: 11 (2020)  /  Artículo
ARTÍCULO
TITULO

An Asphalt Damage Dataset and Detection System Based on RetinaNet for Road Conditions Assessment

Gilberto Ochoa-Ruiz    
Andrés Alonso Angulo-Murillo    
Alberto Ochoa-Zezzatti    
Lina María Aguilar-Lobo    
Juan Antonio Vega-Fernández and Shailendra Natraj    

Resumen

The proposed solution is intended to serve as the acquisition system for a physical asset management tool for big data analytics and smart cities applications.

PÁGINAS
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