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SIXray

A Large-scale Security Inspection X-ray Benchmark for Prohibited Item Discovery in Overlapping Images

SIXray

The SIXray dataset contains 1,059,231 X-ray images which are collected from some several subway stations. There are six common categories of prohibited items, namely, gun, knife, wrench, pliers, scissors and hammer. To study the impact brought by training data imbalance, we construct three subsets of this dataset, and name them as SIXray10, SIXray100 and SIXray1000 On the entire dataset, we use the image-level annotations provided by human security inspectors. In addition, on the testing sets, we manually add a bounding-box for each prohibited item to evaluate the performance of object localization.

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Task
Object Detection
Annotation Types
Bounding Boxes
1059231
Items
6
Classes
1059231
Labels
Models using this dataset
Last updated on 
January 20, 2022
Licensed under 
Research Only
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