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A ready-to-deploy MLOps software platform for satellite and NEO detection at meter-class ground-based observatories
Ground-based astronomical observations frequently contain streaks produced by artificial satellites, space debris, and potentially Near-Earth Objects (NEOs). While machine-learning models can reliably detect these features, their practical adoption in observatory operations is often limited by the l
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