From the Department of Homeland Security:
DHS S&T Launches Synthetic Baggage Image Dataset to Accelerate Airport Screening Innovation
Washington, DC – Limited access to high-quality data has long slowed the development of faster, more accurate baggage screening systems at airports.
The Department of Homeland Security (DHS) Science and Technology Directorate (S&T) is tackling this challenge by launching a first-of-its-kind dataset of 250 synthetic carry-on baggage images.
This initiative supports the president’s executive orders to secure public safety and improve trade and travel, while helping innovators accelerate the creation of next-generation screening technology.
“Detection algorithms are key to reducing false alarms that cause hands-on bag inspections and longer checkpoint wait times,” said Pedro Allende, DHS Under Secretary for Science and Technology.
Future releases may feature larger, more complex bag sets and synthetic millimeter wave images for training passenger screening systems.
The images will be released in Digital Imaging and Communication in Medicine (DICOM) format, familiar to algorithm developers across industries.
S&T funded the development of the Cignal Engine technology through the Silicon Valley Innovation Program, which connects innovators with Homeland Security enterprise challenges.
For more information about Screening at Speed, visit S&T’s website
