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Why Is Deep Learning Challenging for Printed Circuit Board (PCB) Component Recognition and How Can We Address It?
Machine Learning and Computer Vision for PCB Verification
AOI in PCB and SMT Production Line
PCB Electronic Component Defect Detection Method based on Improved YOLOv4 Algorithm
A PCB Dataset for Defects Detection and Classification
Why Is Deep Learning Challenging for Printed Circuit Board (PCB) Component Recognition and How Can We Address It?
PDF] Application Research of Improved YOLO V3 Algorithm in PCB Electronic Component Detection | Semantic Scholar
Applied Sciences | Free Full-Text | Application Research of Improved YOLO V3 Algorithm in PCB Electronic Component Detection | HTML
Defect detection of printed circuit board based on lightweight deep convolution network - Shen - 2020 - IET Image Processing - Wiley Online Library
A PCB Dataset for Defects Detection and Classification
Applied Sciences | Free Full-Text | Application Research of Improved YOLO V3 Algorithm in PCB Electronic Component Detection
Applied Sciences | Free Full-Text | Application Research of Improved YOLO V3 Algorithm in PCB Electronic Component Detection | HTML
Sample data from the FICS-PCB dataset [16] used in this study. (left)... | Download Scientific Diagram
Defect detection of printed circuit board based on lightweight deep convolution network - Shen - 2020 - IET Image Processing - Wiley Online Library
PCB images and specular detection results. (a1) and (a2) are two PCB... | Download Scientific Diagram
Diagnosys - PCB Test and Fault Finding
Deep Neural Network–Based Detection and Verification of Microelectronic Images
Statistical analysis table of PCB-labeled electronic components image size. | Download Scientific Diagram
Capacitor Detection in PCB Using YOLO Algorithm | Semantic Scholar
Automated PCB Reverse Engineering
Detecting fiducial markers from a PCB with pattern matching | by Sébastien Gilbert | Towards Data Science
A PCB Dataset for Defects Detection and Classification
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