HIGHLIGHTS
- who: -Building damage region detection and colleagues from the Laboratory for Surface Transportation Weather Impacts Prevention under have published the article: Real-Time Damaged Building Region Detection Based on Improved YOLOv5s and Embedded System from UAV Images, in the Journal: (JOURNAL) of May/12,/2008
- what: The network accuracy, fast detection speed, and lightweight model. structure of DB-YOLOv5 uses a hybrid Res-DConv This approach has been also widely employed to detect the model and removes the Focus module of original damaged building area in terms of speed, automation, and YOLOv5, which implements a . . .
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