Abstract: To address the limited accuracy of existing PCB surface defect detection methods, the challenge of balancing detection performance with lightweight design, and the need for real-time ...
Abstract: Aiming at the problem that the defects generated in the manufacturing process of PCB will lead to the decline of the quality and performance of electronic products, the traditional defect ...
. ├── app.py # Flask backend API ├── predict.py # ML inference pipeline ├── preprocess.py # Image preprocessing ├── train_defect_model.py # CNN training (optional) ├── train_cost_model.py # ...
face-mask-detection/ ├── dataset/ │ ├── with_mask/ # Training images with masks │ └── without_mask/ # Training images without masks ├── model/ │ ├── mask_detector.h5 # Trained model (generated) │ └── ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results