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STL-10-C
A corrupted variant of the STL-10 test split, generated for controlled mixed-batch OOD experiments.
Dataset Description
600,000 corrupted images produced by applying imagecorruptions to STL-10's 8,000-image test split across 15 corruption types and 5 severity levels.
Each record contains:
image: PNG byteslabel: integer class label (0–9)corruption_name: corruption type (e.g.gaussian_noise)corruption_level: severity (1–5)
Intended Use
Evaluate test-time adaptation methods (e.g. TENT) under controlled distribution shift, where the fraction of corrupted samples in a batch is the independent variable.
Source
STL-10 test split — Coates et al. (2011). Corruptions applied via imagecorruptions — Michaelis et al. (2019).
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