SimonThomine/IndustrialTextileDataset
Introduction of new dataset for unsupervised fabric defect detection
This project provides a specialized collection of real-world fabric images to help textile manufacturers and quality control engineers automatically identify flaws. It offers color images of various fabric types, captured by industrial cameras, and labels them as either good or defective. This allows users to train and test machine learning models for automated defect detection.
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Use this if you are a machine learning researcher or engineer developing automated quality control systems for textile production and need a robust dataset of real industrial fabric defects.
Not ideal if you are looking for a general-purpose image dataset or if your focus is not on fabric defect detection.
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Apr 02, 2024
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