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README.md

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+---
+pretty_name: hyperComp Satellite Training Scenes
+task_categories:
+- image-to-image
+size_categories:
+- 10K<n<100K
+---
+
+# hyperComp satellite training scenes
+
+This dataset contains 10,000 training scenes and 1,000 validation scenes for
+training the hyperComp compression autoencoder. Every scene is an unpadded,
+unresized 1024x1024 RGB provider response. The training loader slices each scene
+into sixteen non-overlapping 256x256 patches at indexing time.
+
+The imagery comes from seven open provider families: NASA Worldview
+MODIS/VIIRS, USDA NAIP, Queensland aerial orthophotos, Netherlands PDOK, Spain
+PNOA, France BD ORTHO, and Switzerland SWISSIMAGE. Exact decoded-pixel,
+perceptual, and pretrained ResNet-18 semantic deduplication are applied before
+the leakage-safe train/validation split.
+
+`manifests/dataset.csv` records the split, source family, provider, product,
+location, capture date, request URL, license URL, attribution, image hashes,
+ground resolution, leakage group, and diversity measurements for every scene.
+`manifests/dedup_report.json` and `manifests/diversity_report.json` document the
+build filters and five diversity axes. Consult each row's license and
+attribution fields when redistributing or using an image.

manifests/dedup_report.json

@@ -0,0 +1,32 @@
+{
+  "deduplicated_retained": 14496,
+  "download_errors": 0,
+  "download_errors_by_source": {},
+  "exact_duplicates": 0,
+  "first_pass_retained": 14496,
+  "patch_size": 256,
+  "patches_per_scene": 16,
+  "perceptual_duplicates": 8,
+  "quality_rejected": 5496,
+  "quality_rejected_by_reason": {
+    "clipped": 65,
+    "low_contrast": 5100,
+    "nodata_region": 331
+  },
+  "quality_rejected_by_source": {
+    "france_bdortho": 1067,
+    "nasa_worldview": 312,
+    "netherlands_pdok": 1022,
+    "queensland_aerial": 1435,
+    "spain_pnoa": 840,
+    "swissimage": 142,
+    "usda_naip": 678
+  },
+  "requested_candidates": 20000,
+  "scene_size": 1024,
+  "seed": 8675309,
+  "semantic_duplicates": 0,
+  "semantic_threshold": 0.995,
+  "train_count": 10000,
+  "validation_count": 1000
+}

manifests/diversity_report.json

@@ -0,0 +1,813 @@
+{
+  "measurement_definitions": {
+    "colors": "joint dominant hue, saturation, and brightness distribution",
+    "elevations": "center-point terrain elevation and elevation-band distribution",
+    "landmarks": "image-derived land-cover or landmark-content class distribution",
+    "sources": "sensor product plus geographic region and capture year coverage",
+    "unique_shapes": "edge-density/orientation structure plus unique perceptual hashes"
+  },
+  "selection_method": "deterministic round-robin over the joint five-axis strata",
+  "total": {
+    "colors": {
+      "brightness_bins": {
+        "counts": {
+          "bright": 1985,
+          "dark": 1810,
+          "mid": 7205
+        },
+        "effective_class_count": 2.4183009638761805,
+        "normalized_shannon_entropy": 0.8038005961338339,
+        "shannon_entropy": 0.8830652125513823,
+        "unique_classes": 3
+      },
+      "counts": {
+        "h00/high/dark": 1,
+        "h00/high/mid": 79,
+        "h00/low/bright": 67,
+        "h00/low/dark": 2,
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+        "h00/medium/bright": 68,
+        "h00/medium/mid": 206,
+        "h01/high/bright": 2,
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+        "h01/high/mid": 29,
+        "h01/low/bright": 345,
+        "h01/low/dark": 17,
+        "h01/low/mid": 620,
+        "h01/medium/bright": 94,
+        "h01/medium/dark": 67,
+        "h01/medium/mid": 939,
+        "h02/high/dark": 11,
+        "h02/high/mid": 1,
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+        "h02/medium/bright": 2,
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+        "h03/high/dark": 10,
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