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
This dataset is used in 1 benchmark:
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 |
Recent papers with results on this dataset: