Upload folder using huggingface_hub (part 20)

README.md

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+---
+language: en
+task_categories:
+- image-to-image
+tags:
+- remote-sensing
+- underwater
+- image-restoration
+---
+# KAUSTics
+
+Semi-synthetic paired through-water UAV restoration dataset from32 source images, with1280 calm-water reference patches and12800 distorted views. References are calm-water appearance targets, not independently verified water-free geometry or reflectance.
+
+## Availability and files
+
+The complete prepared release includes both `original/` (original patch bytes, nominally1000×1000) and `rgb256/` (the exact RGB256 cache used for final experiments). No patch regeneration or additional rendering was performed. One original degraded view is1344×1344 rather than1000×1000; the256 cache standardizes all images. If an initial public upload contains only256, this paragraph must be updated to reflect that partial availability.
+
+`manifest_256.json` and `manifest_original.json` pair each reference with ten views: caustics configurations1/2 ×base, blur, color1, color2, color3. Blender supplies caustics/refraction effects; blur and colour modifications are empirical proxies for turbidity and absorption, not measured depth/scattering coefficients. No calibrated depth labels are provided. `source_assignments.csv` and the manifests define the exact partition.
+
+| Split | UAV source IDs | Reference patches | Distorted views |
+|---|---:|---:|---:|
+| Train |26|1040|10400|
+| Validation |3|120|1200|
+| Test |3|120|1200|
+
+All patches and variants from a source remain together. Source IDs are disjoint; geographic footprint independence has not been independently established. Do not repartition individual patches or variants randomly. Reference pixels are repeated across degraded views; count each reference once when reporting dataset area.
+
+Load with the KAUSTics-Net code’s `Pairs` dataset. Training samples2080 base pairs per epoch, replacing the input with an augmentation variant with probability0.6. Validation/test enumerate all degraded views. Training and evaluation use256RGB images normalized to[-1,1]. Original and256 images are alternative representations of the same patches, not independent extra samples.
+
+Authors: Dario Scilla, Omar A. Lopez, Kasper Johansen, Brian O. Nieuwenhuis and Matthew F. McCabe. Cite the KAUSTics-Net revision manuscript when using the dataset. Dataset licensing will be specified by the authors before publication; this prepared card does not assign a license.