The shift to multi-die assemblies is forcing changes in how chips are tested and inspected in order to achieve sufficient yield ramp or respond more quickly to yield excursions.
The small and complicated features of TSVs give rise to different defect types. Defects can form during any of the TSV ...
Abstract: This paper presents the transfer learning model for studying the accuracy of railway surface defect detection and classification. The research focuses on one of the major structural faults ...
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/ ├── ...
Abstract: Automated surface defect classification in steel manufacturing is essential to meet increasing global demands and improve inspection efficiency. While Convolutional Neural Networks (CNNs) ...
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