Evaluation of Zero-Shot Annotation Models for Waste Classification Training Data in Textiles, Scrap, and Packaging Waste
Generating accurately annotated training data remains a major bottleneck for deploying computer-vision-based sorting systems in heterogeneous waste streams. This work evaluates whether general-purpose zero-shot object detectors can reduce annotation effort for lightweight packaging waste, post-shredder scrap, and post-...