Space Imaging

The Event-Based Space Situational Awareness (EBSSA) Dataset

Authors

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Saeed Afshar, Andrew P Nicholson, Andre van Schaik and Gregory Cohen

The International Centre for Neuromorphic Systems (ICNS)

The MARCS Institute for Brain, Behaviour and Development

Western Sydney University

Penrith, Australia 2751

Email: s.afshar@westernsydney.edu.au

What is it?

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The EBSSA dataset is a collection of event-based recordings of resident space objects, planets and stars. Further information on the dataset contents can be found in the paper available at arXiv preprint arXiv:1911.08730.

You can access the dataset here.

Formats

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The dataset is provided as .mat files

Dataset Summary

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There are six different splits provided in this dataset. A short summary of the dataset is provided below:

The labelled section of the dataset contains 84 recordings and 84 label files.

The unlabelled section of the dataset contains 153 recordings in folders marked "Unlabelled".

Each recording file contains a TD data structure which is a list of events. Each event contians a [ x y p t ] value with x and y being the x and y positions of the event on the sensor, p being the polarity of the event and t the time stamp of each event.

How to cite

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Please cite the following paper when using or referencing the dataset:

Afshar, Saeed, et al. "Event-based Object Detection and Tracking for Space Situational Awareness." arXiv preprint arXiv:1911.08730 (2019).