A new study explores deep learning for image-based defect detection during 3D printing, looking to catch bad builds.
Abstract: To address the performance degradation of transmission line bolt defect detection under low-light conditions, we propose a unified model named RTF-SAW-YOLOv11, which integrates image ...
RF-DETR is a real-time transformer architecture for object detection and instance segmentation developed by Roboflow. Built on a DINOv2 vision transformer backbone, RF-DETR delivers state-of-the-art ...
A material may appear flawless on the surface yet fail to function properly. The cause lies in structural defects hidden within two-dimensional thin films, which are considered key materials for ...
Abstract: Defect detection in printed circuit boards (PCBs) is essential for ensuring the stability and reliability of electronic equipment. However, due to the compact structures and complex ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results