We ventured into dangerous waters for some underwater metal detecting, but what we didn’t expect was to be surrounded by crocodiles and a massive python. This video takes you into the wild, where we ...
Abstract: In order to address the challenge of detecting small surface defects on PCB electrical and electronic components, this study proposes a model called SOF-YOLO. SOF-YOLO introduces Spatial ...
Measured on NVIDIA RTX A6000 (shared GPU, other processes active), batch size 1, image size 640×640, with 5 warm-up images excluded from timing. RT-DETR Val mAP@0.5:0.95 0.6761 (ep 20) 0.7464 (ep 14)* ...
Abstract: The scarcity of defect samples remains a major bottleneck for surface defect detection systems in printed circuit boards (PCB) manufacturing, particularly when identifying unseen or ...
PCB(Printed Circuit Board) 제조 공정에서 발생하는 다양한 결함을 자동으로 검출하는 딥러닝 기반 객체 인식 시스템입니다. PCB/ ├── dataset/ # 데이터셋 │ ├── roboflow/ # Primary dataset (Roboflow format ...
Researchers from Stony Brook University, in collaboration with Ecosuite and Ecogy Energy, have developed a self-supervised machine-learning algorithm designed to identify physical anomalies in solar ...
Doctors in the Raquel and Jaime Gilinski Department of Obstetrics, Gynecology and Reproductive Science at Mount Sinai have become the first in New York City to implement an artificial intelligence (AI ...
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