Computer Vision Dataset for Aircraft Taxi Operations

The development and democratization of computer vision algorithms are contingent on the availability of high-quality datasets. In this paper, we introduce a database of forward-facing videos from taxiing aircraft as well as the time-correlated flight data at approximately 1 to10 Hz containing aircraft state data and environmental conditions. The video data is sourced from the National Aeronautics and Space Administration Airborne Science Program archive and includes over 33 hours of 4k, 1080p, and 720p video from twenty-two airports around the world. This paper describes the method of the database construction and a brief analysis of its contents.