ALERT Datasets

Currently ALERT has four active datasets, that have developed out of transition tasks supported by the Department of Homeland Security (DHS). The datasets are related to ALERT’s Computerized Tomography (CT) Segmentation Initiative, Reconstruction Initiative, Automated Threat Recognition (ATR) Initiative and ALERT Video Analytics Re-Identification work.

ALERT datasets are only available to ALERT Industry Members as a benefit of membership or to DHS-affiliated organizations by referral. If you have been referred to these sets by DHS or are interested in becoming an industrial member to access the datasets for industrial use, please complete our Dataset Request Form.

CT Datasets

ALERT leveraged the advances of medical CT to contract with a vendor to obtain representative datasets of packed luggage and reference objects. Luggage was scanned on a state-of-the-art medical CT scanner at the vendor’s factory. Approximately 900 objects were placed in luggage and scanned to produce 62 luggage datasets to span the spectrum of packing, density, arrangement, orientation, and size difficulty.

Information on the datasets is contained in Section 5.3 of the CT program’s final report.

Reconstruction Initiative Dataset

ALERT created a database of projection and image data corresponding to scans of objects of interest in the presence of various amounts of clutter, using a medical CT scanner. Reconstructed images using filtered back-projection that match the images obtained on the medical scanner were used to generate the database.

Information on the datasets is contained in Section 5.2 of the Reconstruction initiative’s final report.

Automated Threat Recognition (ATR) Initiative

ALERT developed automated target recognition algorithms (ATR) for CT-based explosive detection systems (EDS). The research groups were provided with images from scans of targets packed in bags and scanned on a medical CT scanner. The targets were chosen to create detection scenarios similar to what vendors face when detecting explosives using their CT-based EDS.

Information on the datasets is contained in Section 5.2 of the ATR initiative’s final report.

ALERT Airport Re-Identification Dataset

As part of the ALERT video analytics effort, researchers at Northeastern University and Rensselaer Polytechnic Institute developed an annotated dataset that accurately reflects the real-world person re-identification problem. The dataset was constructed using video data from the six cameras installed post central security checkpoint at an active commercial airport within the United States. 

> Read about the Airport Re-Identification Dataset


CT Segmentation Scan

The above is a representation of a CT-scan of luggage.

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