{"url":"/dataset/clcxray","name":"CLCXray","full_name":"Cutters and Liquid Containers X-ray Dataset","description_markdown":"The CLCXray dataset contains 9,565 X-ray images, in which 4,543 X-ray images (real data) are obtained from the real subway scene and 5,022 X-ray images (simulated data) are scanned from manually designed baggage. There are 12 categories in the CLCXray dataset, including 5 types of cutters and 7 types of liquid containers. Five kinds of cutters include blade, dagger, knife, scissors, swiss army knife. Seven kinds of liquid containers include cans, carton drinks, glass bottle, plastic bottle, vacuum cup, spray cans, tin. The annotations are made in COCO format.","description_withheld":null,"homepage":"https://github.com/Vill-Lab/2022-TIFS-CLCXray","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":{"name":"The images and the corresponding annotation results can only be used for ACADEMIC PURPOSES. NO COMERCIAL USE is allowed Copyright © Visual and Intelligent Learning Lab, Tongji University (Tongji). All rights reserved.","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"2D Object Detection","url":"/task/2d-object-detection","datasets_with_task":"/datasets/task/2d-object-detection"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["CLCXray"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/2d-object-detection-on-clcxray","task":"2D Object Detection","dataset_variant":"CLCXray","rows":1,"metrics":["Detection: Full (mAP@0.5)"],"first_row_in_archive_order":{"model":"LACLS","paper":"/paper/detecting-overlapping-objects-in-x-ray","metrics":{"Detection: Full (mAP@0.5)":"59.3"},"code_links":[{"title":"greysonphoenix/clcxray","url":"https://github.com/greysonphoenix/clcxray"},{"title":"Vill-Lab/2022-TIFS-CLCXray","url":"https://github.com/Vill-Lab/2022-TIFS-CLCXray"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/detecting-overlapping-objects-in-x-ray","title":"Detecting Overlapping Objects in X-ray Security Imagery by a Label-aware Mechanism","date":"2022-02-28","rows_on_this_dataset":1,"code_links":2,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}