SIXray

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Overview

The SIXray dataset is constructed by the Pattern Recognition and Intelligent System Development Laboratory, University of Chinese Academy of Sciences. It 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. It has three subsets called SIXray10, SIXray100 and SIXray1000, There are image-level annotations provided by human security inspectors for the whole dataset. In addition the images in the test set are annotated with a bounding-box for each prohibited item to evaluate the performance of object localization.

Source: https://github.com/MeioJane/SIXray
Image Source: https://github.com/MeioJane/SIXray

Variants: SIXray

Associated Benchmarks

This dataset is used in 1 benchmark:

Recent Benchmark Submissions

Task Model Paper Date
Object Detection Optim [39] Lpixel Paint Transformer: Feed Forward Neural … 2021-08-09
Object Detection LRPz Towards Best Practice in Explaining … 2019-10-22

Research Papers

Recent papers with results on this dataset: