SPARK 2024: Datasets for Spacecraft Semantic Segmentation and Spacecraft Trajectory Estimation
<p>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.</p> <p>Stream 1 – Spacecraft Semantic Segmentation intended for segmenting space objects to classify pixel values based on which part of the object they belong to.</p> <p>Stream 2 – Spacecraft Trajectory Estimation intended to leveraging the knowledge of temporal data to estimate the 6DoF pose of the spacecraft.</p> <h4>Request access</h4> <p>If you would like to request access to the dataset, Please visit <a href="https://cvi2.uni.lu/spark2024/">https://cvi2.uni.lu/spark2024/</a> to register and get access to dataset.</p>
ShareScore
8/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 0
- Reuse readiness
- 0
- Engagement
- 0