Скачать или смотреть Machine Learning Project - Paper Defect Detection and Classification

This project automates paper defect localization in industrial quality control using feature extraction and machine learning. Techniques include HOG, Gabor filters, Canny edge detection, and Wavelet Transform with SVMs, CNNs, and ensemble learning. It aims to reduce manual inspection, improving efficiency and reliability in defect detection. You can see my project's source code and project report on GitHub.

Project source code and report (master branch): https://github.com/poetabdullah/Paper...

LinkedIn:   / abdullah--imran  
Medium:   / abdullahimranarshad  
GitHub: https://github.com/poetabdullah

Article 1 based on the project: Defect Detection in Papers and Model comparison:   / defect-detection-in-papers-model-comparison  

Article 2 based on the project: Feature Extraction and Data Preprocessing in Computer Vision:   / feature-extraction-and-data-preprocessing-...