Road Damage Detection Using YOLOv7 with Cluster Weighted Distance-IoU NMS
Road damage can occur everywhere. Potholes are one of the most common types of road damage. Previous research that used images as input for pothole detection used the Faster Regional Convolutional Neural Network (R-CNN) method. It has a large inference time because it is a two-stage detection method...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Department of Informatics, UIN Sunan Gunung Djati Bandung
2025-04-01
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| Series: | JOIN: Jurnal Online Informatika |
| Subjects: | |
| Online Access: | https://join.if.uinsgd.ac.id/index.php/join/article/view/1481 |
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