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

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Title: An Asphalt Damage Dataset and Detection System Based on RetinaNet for Road Conditions Assessment.
Authors: Ochoa-Ruiz, Gilberto1, gilberto.ochoa@tec.mx, Angulo-Murillo, Andrés Alonso2, alonsoangulom@outlook.com, Ochoa-Zezzatti, Alberto3, alberto.ochoa@uacj.mx, Aguilar-Lobo, Lina María2, lina.aguilar@edu.uag.mx, Vega-Fernández, Juan Antonio2, javega@edu.uag.mx, Natraj, Shailendra4, shailendra@vidrona.com
Source: Applied Sciences (2076-3417); Jun2020, Vol. 10 Issue 11, p3974, 16p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 144302347
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: An Asphalt Damage Dataset and Detection System Based on RetinaNet for Road Conditions Assessment.
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        Value: 10.3390/app10113974
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      – Code: eng
        Text: English
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        PageCount: 16
        StartPage: 3974
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      – TitleFull: An Asphalt Damage Dataset and Detection System Based on RetinaNet for Road Conditions Assessment.
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            NameFull: Aguilar-Lobo, Lina María
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            NameFull: Vega-Fernández, Juan Antonio
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            – D: 01
              M: 06
              Text: Jun2020
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              Y: 2020
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