Data-engineering workflow
Training Datasets
The labelled examples a model learns from. Their size, coverage, and biases largely determine how well a model works and where it fails — a classifier only knows the kinds of object it was shown, and inherits any selection effects in how those examples were gathered.
Methods, data & targets
Used across astro-ML
Knowledge connections
- Associated withClassification
- Associated withBenchmark Datasets
- Associated withModel Evaluation
Sources
The primary and reference sources this topic draws on.
- NASANational Aeronautics and Space Administration
Mission data, planetary science, space telescopes, and public-domain imagery.
Most NASA-produced imagery is in the public domain; individual items are checked for usage terms before publication.