A taxonomy of defects with a benchmarking script that validates which of them can be spot by which static analyzers
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Updated
Dec 10, 2025 - Python
A taxonomy of defects with a benchmarking script that validates which of them can be spot by which static analyzers
A user-friendly web application for detecting defects on painted surfaces using live webcam input and image uploads.
This project is for defect classification on multi-light source
ResNet-18 wafer defect classifier trained on WM-811K — focal loss, CBAM attention, TTA, and Grad-CAM++ explainability. Macro-F1 0.916 on the 9-class labeled subset.
Mango Classification Competition by AICUP 2020
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