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First per-image PCA decomposition of Kodak suite reveals deliberate curation

Quality: 6/10 Relevance: 7/10

Summary

The Kodak PCD0992 Statistical Profile Series presents the first per-image PCA and inter-channel redundancy analysis for all 24 images, detailing covariance, eigendecomposition, and derived metrics. It provides a reproducible data-characterization workflow with reference data sheets and JSON metrics, highlighting deliberate curation across the image suite and implications for understanding image-data diversity in AI datasets.

🚀 Service construit par Johan Denoyer