| --- |
| license: apache-2.0 |
| language: |
| - en |
| task_categories: |
| - visual-question-answering |
| pretty_name: DualXrayBench |
| size_categories: |
| - 1K<n<10K |
| tags: |
| - x-ray |
| - dual-view |
| - security-screening |
| - spatial-reasoning |
| --- |
| |
| # DualXrayBench |
|
|
| DualXrayBench is the 1,594-example, eight-task evaluation split accompanying the GSR work on dual-view X-ray reasoning. Each record pairs a top-view and side-view image with one multiple-choice question, its reference answer, task metadata, and reference target-instance boxes. |
|
|
| ## Files |
|
|
| - `annotations/benchmark.jsonl`: stable public records with `task_id`, `task_name`, and relative top/side image paths. |
| - `annotations/dual-xray-benchmark.json`: unchanged paper-v1 canonical compatibility file. |
| - `annotations/tasks/*.jsonl`: the same stable records partitioned by task. |
| - `images/top` and `images/side`: exactly 1,594 paired JPEG images in each view. |
| - `tasks.json`, `schema.json`, and `evaluation_protocol.md`: task definitions, record schema, and scoring guidance. |
|
|
| The record order is the frozen canonical paper-v1 order. Image paths are relative to this repository. The benchmark image IDs have zero overlap with the GSXray training image IDs used for this release. |
|
|
| ## Loading |
|
|
| ```python |
| import json |
| |
| with open("annotations/benchmark.jsonl", encoding="utf-8") as handle: |
| records = [json.loads(line) for line in handle] |
| |
| first = records[0] |
| print(first["images"]["top"], first["images"]["side"], first["task_id"]) |
| ``` |
|
|
| See `evaluation_protocol.md` before reporting results. Do not train or tune on benchmark answers. |
|
|
| ## License and attribution |
|
|
| This release is distributed under the Apache License 2.0 under the project's confirmed redistribution basis. It is derived from the LDXray dual-view X-ray dataset and includes GSR benchmark annotations and packaging. See `LICENSE` and `NOTICE`. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @inproceedings{peng2026secondview, |
| title={Can a Second-View Image Be a Language? Geometric and Semantic Cross-Modal Reasoning for X-ray Prohibited Item Detection}, |
| author={Peng, Chuang and Tao, Renshuai and Ren, Zhongwei and Liu, Xianglong and Wei, Yunchao}, |
| booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition}, |
| year={2026} |
| } |
| |
| @inproceedings{tao2025dualview, |
| title={Dual-view X-ray Detection: Can AI Detect Prohibited Items from Dual-view X-ray Images Like Humans?}, |
| author={Tao, Renshuai and Wang, Haoyu and Guo, Yuzhe and Chen, Hairong and Zhang, Li and Liu, Xianglong and Wei, Yunchao and Zhao, Yao}, |
| booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition}, |
| pages={10338--10347}, |
| year={2025} |
| } |
| ``` |
|
|
