Abstract: Printed circuit board (PCB) surface defect detection is crucial for ensuring product quality and improving production efficiency. In recent years, deep learning-based methods have achieved ...
Obstetricians at Mount Sinai were the first in New York City to use an artificial intelligence tool that can lead to early detection of congenital heart defects in fetuses. Doctors in the Raquel and ...
As a fan of co-op and PvP shooters, I'm drowning in good news at the moment. Space Marine 2 is getting another year of content. Battlefield 6 returns the series to its former glory. Arc Raiders and ...
When a good die fails test and gets scrapped, often no one notices, because false failures look identical to real ones. Yet across the industry, these phantom defects are quietly eroding yield, ...
The dataset is already organized in YOLO format in the steel_dataset/ directory. If you need to reorganize from original format, see utility/reorganize_dataset.py. steel-defect-detection/ ├── ...
One in 33 babies in the United States are born with birth defects. But a new study from the Centers for Disease Control and Prevention is raising awareness of ways to lower that risk. The study points ...
This project code is forked from https://github.com/DetectionTeamUCAS/FPN_Tensorflow. I have only made minor changes on this wonderful and clear project. Thanks for ...
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