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PDSXray: A Benchmark Dataset for Pseudocoloring-Driven Domain Adaptation in Security X-ray Inspection
Xiaohao Zhang1, Jiansen Qiao2, Xianyu Wang2
1College of Information and Electrical Engineering, China Agricultural University, Key Laboratory of Agricultural Informatization Standardization, Ministry of Agriculture and Rural Affairs, Beijing, 100083, China.
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. The dataset has two complementary subsets: a synthetic subset, which applies controlled hue transformations on an endogenous domain shift dataset to isolate and evaluate PDS independently; and an aggregated subset, which integrates multiple public security datasets into a unified format for verifying cross domain and cross device model generalization. All annotations follow standardized structures with detailed descriptions to ensure reproducibility and comparability. This dataset provides a benchmark for evaluating object detection algorithms under domain shifts and supports studies on model robustness and generalization in diverse X ray security scenarios.

