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

<b> </b>The analysis and follow up of asphalt infrastructure using image processing techniques has received increased attention recently. However, the vast majority of developments have focused only on determining the presence or absence of road damages, forgoing other more pressing conc...

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Bibliographic Details
Main Authors: Gilberto Ochoa-Ruiz, Andrés Alonso Angulo-Murillo, Alberto Ochoa-Zezzatti, Lina María Aguilar-Lobo, Juan Antonio Vega-Fernández, Shailendra Natraj
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/10/11/3974