ArticleScientific data2026
PDSXray: A Benchmark Dataset for Pseudocoloring-Driven Domain Adaptation in Security X-ray Inspection.
Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Who cites it
1 citing paper in PubMed.
- PDSXray: A Benchmark Dataset for Pseudocoloring-Driven Domain Adaptation in Security X-ray Inspection.Scientific data · 2026Article
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Authors and funding
6 authors.
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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.
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Registered trials
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