2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CV2021
A Multi-Stage model based on YOLOv3 for defect detection in PV panels based on IR and Visible Imaging by Unmanned Aerial Vehicle
Antonio Di Tommaso, Alessandro Betti, Giacomo Fontanelli +1
As solar capacity installed worldwide continues to grow, there is an increasing awareness that advanced inspection systems are becoming of utmost importance to schedule smart inter…
cs.CV2020★ 2 cited
Real-Time target detection in maritime scenarios based on YOLOv3 model
Alessandro Betti, Benedetto Michelozzi, Andrea Bracci +1
In this work a novel ships dataset is proposed consisting of more than 56k images of marine vessels collected by means of web-scraping and including 12 ship categories. A YOLOv3 si…