AIBullisharXiv – CS AI · 7h ago6/10
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Train, Test, Re-evaluate: Schedule-Sensitive Evaluation of Generative Data for Hand Detection
Researchers demonstrate that synthetic data generated through inpainting can effectively augment hand detection models for safety-critical applications when trained using multi-stage scheduling approaches. The study shows that combining real and synthetic data with strategic fine-tuning improves detection accuracy on out-of-distribution scenarios like gloved hands, addressing a critical gap in occupational safety systems.