An RGB-based computer vision pipeline for textile recycling achieves 81.25% accuracy on four fabric classes and 0.90 mIoU when segmenting buttons and zippers with zero-shot foundation models.
Scalability solutions for automated textile sorting: a case study on how dynamic capabilities can overcome scalability challenges,
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Textile Analysis for Recycling Automation using Transfer Learning and Zero-Shot Foundation Models
An RGB-based computer vision pipeline for textile recycling achieves 81.25% accuracy on four fabric classes and 0.90 mIoU when segmenting buttons and zippers with zero-shot foundation models.