SPARK 2024: Datasets for Spacecraft Semantic Segmentation and Spacecraft Trajectory Estimation

SPARK 2024 dataset is part of SPARK challenge aims to design data-driven approaches for Spacecraft Semantic Segmentation and Trajectory Estimation. SPARK 2024 dataset will utilize data synthetically simulated with a state-of-the-art rendering engine in addition to the data collected from the Zero-Gravity Laboratory (Zero-G Lab) facility at SnT – Interdisciplinary Center for Security, Reliability, and Trust, University of Luxembourg.

Stream 1 – Spacecraft Semantic Segmentation intended for segmenting space objects to classify pixel values based on which part of the object they belong to.

Stream 2 – Spacecraft Trajectory Estimation intended to leveraging the knowledge of temporal data to estimate the 6DoF pose of the spacecraft.

Request access

If you would like to request access to the dataset, Please visit https://cvi2.uni.lu/spark2024/ to register and get access to dataset.