Yinxue Shi

Abstract As an important economic crop, tomato is vulnerable to various diseases, and these diseases often have high visual similarity, making identification difficult. A delay in diagnosis can have a significant effect on tomato yields. Traditional manual visual inspection methods have poor accuracy, while laboratory diagnostic methods are inefficient, making them unsuitable for large-scale agricultural scenarios.

Abstract In the field of security X ray imaging, existing datasets mainly focus on endogenous domain shifts caused by hardware differences but do not address pseudocoloring driven domain shift (PDS), a type of domain shift resulting from different pseudocoloring schemes across devices. To fill this gap, we construct and release a benchmark dataset designed for studying domain shifts in security X ray inspection, focusing on both PDS and endogenous differences.