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Dataset for: Multiple-type distress detection in asphalt concrete pavement using infrared thermography and deep learning

<p>This is the dataset for the following paper:&nbsp;</p> <p>Fangyu Liu, Jian Liu, Linbing Wang, and Imad L. Al-Qadi. "Multiple-type distress detection in asphalt concrete pavement using infrared thermography and deep learning." Automation in Construction 161 (2024): 105355. https://doi.org/10.1016/j.autcon.2024.105355.</p> <p>Data component:</p> <ul> <li>01-Visible images: this folder includes fully visible images</li> <li>02-Infrared images: this folder includes fully infrared images</li> <li>03-Fusion(25IRT) images: this folder includes fusion images (25% infrared + 75% visible)</li> <li>04-Fusion(50IRT) images: this folder includes fusion images (50% infrared + 50% visible)</li> <li>05-Fusion(75IRT) images: this folder includes fusion images (75% infrared + 25% visible)</li> <li>06-Annotations: this folder includes annotations (xml files) based on PASCAL VOC (PASCAL Visual Object Classes Challenge) styles.</li> </ul>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
8
Access
16
Reuse readiness
8
Engagement
0