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TideTrace SAR training tiles

512 x 512 tiles cut from the Zenodo Sentinel-1 SAR oil spill dataset, prepared for the TideTrace oil spill attribution system (SIH26143, NTRO).

Contents

Each .npz holds one tile:

key shape meaning
image (2, 512, 512) float32 Sigma0 VV and VH in dB
label (512, 512) uint8 0 sea, 1 look-alike, 2 mineral oil

index.json records the tile count per class and the dB normalisation statistics (mean_db, std_db) that the model was trained with. Inference reads those from the checkpoint, so they must not drift.

Provenance

Source imagery: Zenodo Sentinel-1 SAR Oil Spill Dataset, Parts I, II and III (10.5281/zenodo.8346860, 10.5281/zenodo.8253899, 10.5281/zenodo.13761290), licensed CC BY 4.0.

Label convention comes from the source folder, not from the mask value: an oil folder mask becomes class 2, a look-alike folder mask becomes class 1, and an oil-free chip is all class 0.

Masks in the source set frequently ship with no CRS. Every mask here had the affine transform and CRS copied from its matching Sigma0 image before tiling, because a centroid computed from an ungeoreferenced mask is fiction.

Licence

CC BY 4.0, inherited from the source dataset. Cite Zenodo when you use these.

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