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FabricFlaw is a high-quality dataset designed for AI-powered textile defect detection in fashion, manufacturing, and quality control. This dataset includes common fabric defects such as frayed edges, loose threads, tears, uneven weaving, pilling, and discoloration across various textile types like cotton, denim, silk, polyester, and wool. It is ideal for automated fabric inspection systems, clothing manufacturers, and AI-driven textile sorting applications.
License: CC0: Public Domain
