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Check out the documentation for more information.
benchmark
A benchmark for compression algorithms on Earth observation raster data.
Each corpus is a folder: a build script that reproduces it, a manifest pinning every sample to exact pixels, and per-image statistics. The arrays and thumbnails live on Hugging Face and are pulled by hash.
Corpora
| corpus | samples | shape | source |
|---|---|---|---|
s2-l1c-13 |
50 | (13, 512, 512) uint16 |
Sentinel-2 L1C, all bands at 10 m |
Layout
s2-l1c-13/
build.py rebuilds the corpus from the pinned sites
spec.md band order, provenance, licence, thumbnail stretch
data/
manifest.csv identity, provenance, hashes
stats.csv intrinsic per-image statistics
npy/ arrays — on Hugging Face
png/ one thumbnail per sample — on Hugging Face
data/npy/ and png/ are gitignored. The bytes are versioned on Hugging Face;
git holds what is worth reading in a diff.
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