Train, Test, Re-evaluate: Schedule-Sensitive Evaluation of Generative Data for Hand Detection 事件

Train, Test, Re-evaluate: Schedule-Sensitive Evaluation of Generative Data for Hand Detection arXiv:2606.01896v1 Announce Type: new Abstract: Generated (or synthetic) image data is increasingly used to augment or replace real training datasets when target imagery is scarce, expensive, or biased. For hand detection, particularly in occupational safety settings, public datasets mostly contain bare hands. This under-represents the variation in hand appearance introduced by gloves, tattoos, jewelry