The SPARK 2022 dataset contains two streams of data.
Spacecraft Detection involves localising and classifying the object by estimating its bounding box and label. Stream-1 dataset is a unique space multi-modal annotated image dataset containing a total of ~110k RGB images of 11 object classes (10 spacecraft and one class of space debris). The data have been generated under a realistic space simulation environment, with a large diversity in sensing conditions, including extreme and challenging ones for different orbital scenarios, background noise, low signal-to-noise ratio (SNR), and high image contrast that defines actual space imagery.
Spacecraft Trajectory Estimation focuses on Leveraging the knowledge of temporal data to estimate the 6DoF pose of the spacecraft. Stream-2 dataset contains 100+ trajectories (each containing 300 RGB images) of the target satellite “Proba-2” generated under a realistic space simulation environment.