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.

Classification
Benchmark Datasets

Used across astro-ML

Model Evaluation

Knowledge connections

Associated withClassification
Associated withBenchmark Datasets
Associated withModel Evaluation

Sources

Facts on this topic will be cited from these primary and reference sources.

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.

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Training Datasets

Methods, data & targets

Used across astro-ML

Knowledge connections

Sources

Training Datasets

Methods, data & targets

Used across astro-ML

Knowledge connections

Sources