Datasets:

ICLR-Review23
/

ELDOR

	---
	pretty_name: ELDOR
	task_categories:
	- image-segmentation
	tags:
	- remote-sensing
	- semantic-segmentation
	- uav
	- orthomosaic
	---

	# ELDOR Data

	Anonymous dataset release for peer review. This repository contains imagery, labels, and dataset documentation. Model checkpoints are not included.

	[Anonymous benchmark code](https://anonymous.4open.science/r/ELDOR-anonymous-review-D076/)

	- Public dataset name: `ELDOR`
	- Local dataset root: `data`
	- Output folders: `train/image`, `train/label`, `val/image`, `val/label`, `test/image`, `test/label` (copied from `GoldMining/Data/Orthomosaic` and `GoldMining/Data/Label`).
	- Source folders: `Drone_Orthomosaic_V1/Orthomosaic_org` and `Drone_Orthomosaic_V1/Just_labels`
	- Matching rule: label to orthomosaic by filename mapping, then crop/reproject label to orthomosaic grid.
	- Canonical labels: 14 semantic classes (`1..14`) plus `0=Background` after class merging in ELDOR.
	- Split rule in this dataset: train/val/test assignment is listed in the `Split` column of the spatial metadata table.

	## Spatial metadata table (source files + aligned output)

	\| Site \| Ortho file \| Label source file \| CRS \| Ortho size (W x H px) \| Label size (W x H px) \| Ortho res (m/px x,y) \| Label res (m/px x,y) \| Ortho lon range \| Ortho lat range \| Label lon range \| Label lat range \| Output size (W x H px) \| Foreground area (ha) \| Acquisition date \| Split \|
	\| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| ---: \| --- \| --- \|
	\| AcumulacionAaron2B \| `AcumulacionAaron2B_corrected.tif` \| `AcumulacionAaron2B_classified_corrected.tif` \| EPSG:32719 \| 38122x17643 \| 38111x17760 \| 0.056308, 0.056308 \| 0.056323, 0.055936 \| [-70.419597, -70.399788] \| [-12.627643, -12.618558] \| [-70.419597, -70.399788] \| [-12.627643, -12.618558] \| 38122x17643 \| 212.0501 \| 2022-04-24 \| train \|
	\| Anel \| `Anel_corrected.tif` \| `Anel_classified_corrected.tif` \| EPSG:32719 \| 26909x24725 \| 17662x17661 \| 0.056620, 0.056620 \| 0.058580, 0.059049 \| [-69.714044, -69.699976] \| [-12.713767, -12.701071] \| [-69.711529, -69.701974] \| [-12.711964, -12.702509] \| 18274x18420 \| 102.7175 \| 2022-04-08 \| test \|
	\| Clavelito \| `Clavelito_corrected.tif` \| `Clavelito_classified_corrected.tif` \| EPSG:32719 \| 19865x40307 \| 19357x39684 \| 0.075601, 0.075601 \| 0.076376, 0.076781 \| [-70.605945, -70.591929] \| [-12.961391, -12.933761] \| [-70.605944, -70.592143] \| [-12.961387, -12.933761] \| 19556x40304 \| 344.5330 \| 2022-05-09 \| val \|
	\| ElEngano \| `ElEngano_corrected.tif` \| `ElEngano_classified_corrected.tif` \| EPSG:32719 \| 23616x24742 \| 17473x17473 \| 0.057233, 0.057233 \| 0.057566, 0.058201 \| [-69.962478, -69.949966] \| [-13.020161, -13.007312] \| [-69.960769, -69.951459] \| [-13.018407, -13.009178] \| 17575x17770 \| 101.2404 \| 2022-03-03 \| test \|
	\| Kotsimba \| `Kotsimba_corrected.tif` \| `Kotsimba_classified_corrected.tif` \| EPSG:32719 \| 57331x53961 \| 57227x53950 \| 0.072760, 0.072760 \| 0.072889, 0.072771 \| [-70.283655, -70.244998] \| [-13.136635, -13.100951] \| [-70.283654, -70.244999] \| [-13.136634, -13.100952] \| 57328x53959 \| 693.7270 \| 2022-05-26 \| train \|
	\| Linda \| `Linda2_corrected.tif` \| `Linda_classified_corrected.tif` \| EPSG:32719 \| 23601x23698 \| 17352x17352 \| 0.057632, 0.057632 \| 0.059290, 0.059408 \| [-69.953378, -69.940789] \| [-13.020082, -13.007688] \| [-69.951874, -69.942353] \| [-13.018530, -13.009175] \| 17852x17888 \| 98.8187 \| 2022-02-28 \| test \|
	\| Los5Rebeldes \| `Los5Rebeldes_corrected.tif` \| `Los5Rebeldes_classified_corrected.tif` \| EPSG:32719 \| 43867x76279 \| 33334x66668 \| 0.030000, 0.030000 \| 0.030140, 0.030001 \| [-70.672354, -70.660084] \| [-13.034336, -13.013573] \| [-70.670932, -70.661549] \| [-13.032969, -13.014831] \| 33490x66672 \| 199.9257 \| 2022-02-04 \| train \|
	\| Nayda \| `Nayda_corrected.tif` \| `Nayda_classified_corrected.tif` \| EPSG:32719 \| 22677x23480 \| 17665x17665 \| 0.056610, 0.056610 \| 0.057532, 0.057385 \| [-69.721603, -69.709746] \| [-12.713363, -12.701313] \| [-69.720152, -69.710766] \| [-12.711798, -12.702607] \| 17954x17908 \| 101.9933 \| 2022-08-04 \| val \|
	\| Paolita \| `Paolita1_corrected.tif` \| `Paolita1_classified_corrected.tif` \| EPSG:32719 \| 58663x33523 \| 54108x27055 \| 0.055446, 0.055446 \| 0.055275, 0.055441 \| [-69.630457, -69.600462] \| [-12.689889, -12.673012] \| [-69.629627, -69.602050] \| [-12.688983, -12.675355] \| 53943x27054 \| 445.5226 \| 2022-02-21 \| test \|
	\| PlayaMirador1 \| `PlayaMirador_corrected.tif` \| `PlayaMirador_classified_corrected.tif` \| EPSG:32719 \| 22911x22394 \| 17608x17608 \| 0.056792, 0.056792 \| 0.056840, 0.057298 \| [-70.377536, -70.365474] \| [-13.063390, -13.051829] \| [-70.376072, -70.366793] \| [-13.062030, -13.057446] \| 17624x8883 \| 50.1027 \| 2022-03-10 \| train \|
	\| PlayaMirador2 \| `PlayaMirador_corrected.tif` \| `PlayaMirador_classified_corrected.tif` \| EPSG:32719 \| 22911x22394 \| 17608x17608 \| 0.056792, 0.056792 \| 0.056840, 0.057298 \| [-70.377536, -70.365474] \| [-13.063390, -13.051829] \| [-70.376072, -70.366793] \| [-13.057446, -13.052861] \| 17624x8883 \| 50.1021 \| 2022-03-10 \| val \|
	\| SantaInesDosMil \| `SantaInesDosMil_corrected.tif` \| `SantaInesDosMil_classified_corrected.tif` \| EPSG:32719 \| 22883x24295 \| 17185x17184 \| 0.058193, 0.058193 \| 0.058873, 0.058471 \| [-70.386657, -70.374307] \| [-13.063436, -13.050589] \| [-70.385274, -70.375895] \| [-13.061789, -13.052656] \| 17387x17267 \| 100.9625 \| 2022-03-10 \| test \|

	## Unified class mapping (ELDOR merged classes)

	\| Canonical ID \| Class \| Merged from original IDs \| Color swatch \| Color (HEX) \| Area (ha) \| Percentage (%) \| Pixel count \| Alias names seen in metadata \|
	\| --- \| --- \| --- \| --- \| --- \| ---: \| ---: \| ---: \| --- \|
	\| 1 \| Building \| 1,4 \| <span style="display:inline-block;width:14px;height:14px;background:#8A6A3D;border:1px solid #222;"></span> \| `#8A6A3D` \| 2.3745 \| 0.09 \| 6,367,488 \| Area urbana; Campamento minero \|
	\| 2 \| Mining raft \| 2 \| <span style="display:inline-block;width:14px;height:14px;background:#7BEBFB;border:1px solid #222;"></span> \| `#7BEBFB` \| 0.1467 \| 0.01 \| 461,925 \| Balsa; Balsa de mineria; Raft \|
	\| 3 \| Primary Forest \| 3 \| <span style="display:inline-block;width:14px;height:14px;background:#B04C18;border:1px solid #222;"></span> \| `#B04C18` \| 961.8239 \| 38.45 \| 3,308,805,552 \| Bosque primario; Primary forest \|
	\| 4 \| Heavy machinery \| 5,8,9,19 \| <span style="display:inline-block;width:14px;height:14px;background:#EE92C6;border:1px solid #222;"></span> \| `#EE92C6` \| 0.0161 \| 0.00 \| 43,313 \| Cargador frontal; Excavadora; Maquinaria pesada; Volquete; Dump truck \|
	\| 5 \| Water bodies \| 6 \| <span style="display:inline-block;width:14px;height:14px;background:#4F6F6F;border:1px solid #222;"></span> \| `#4F6F6F` \| 321.2655 \| 12.84 \| 1,085,789,506 \| Cuerpos de agua \|
	\| 6 \| Agricultural crop \| 7 \| <span style="display:inline-block;width:14px;height:14px;background:#84D08C;border:1px solid #222;"></span> \| `#84D08C` \| 33.5185 \| 1.34 \| 105,688,237 \| Cultivos agricolas; Cultivo agricola; Cultivos; Crops \|
	\| 7 \| Compact mounds \| 10 \| <span style="display:inline-block;width:14px;height:14px;background:#23F3E3;border:1px solid #222;"></span> \| `#23F3E3` \| 66.2310 \| 2.65 \| 215,787,431 \| Monticulo compacto; Compact mound \|
	\| 8 \| Gravel mounds \| 11 \| <span style="display:inline-block;width:14px;height:14px;background:#585400;border:1px solid #222;"></span> \| `#585400` \| 13.2680 \| 0.53 \| 42,049,847 \| Monticulos de cascajo \|
	\| 9 \| Grass \| 12 \| <span style="display:inline-block;width:14px;height:14px;background:#8DB51D;border:1px solid #222;"></span> \| `#8DB51D` \| 28.3472 \| 1.13 \| 87,888,718 \| Pasto \|
	\| 10 \| Type 1 natural regeneration \| 13 \| <span style="display:inline-block;width:14px;height:14px;background:#C2163A;border:1px solid #222;"></span> \| `#C2163A` \| 228.5563 \| 9.14 \| 660,993,175 \| Regeneracion natural tipo 1; Regeneracion tipo 1; Type 1 disturbed vegetation \|
	\| 11 \| Type 2 natural regeneration \| 14 \| <span style="display:inline-block;width:14px;height:14px;background:#F77757;border:1px solid #222;"></span> \| `#F77757` \| 523.1002 \| 20.91 \| 1,710,062,485 \| Regeneracion natural tipo 2; Regeneracion tipo 2; Type 2 disturbed vegetation \|
	\| 12 \| Bare ground \| 15 \| <span style="display:inline-block;width:14px;height:14px;background:#2CD874;border:1px solid #222;"></span> \| `#2CD874` \| 322.9909 \| 12.91 \| 882,535,708 \| Suelo desnudo; Bare soil \|
	\| 13 \| Sluice \| 16 \| <span style="display:inline-block;width:14px;height:14px;background:#613991;border:1px solid #222;"></span> \| `#613991` \| 0.0403 \| 0.00 \| 126,368 \| Tolva; Tolvas; Hopper \|
	\| 14 \| Vehicles \| 17,18 \| <span style="display:inline-block;width:14px;height:14px;background:#969AAE;border:1px solid #222;"></span> \| `#969AAE` \| 0.0092 \| 0.00 \| 85,244 \| Vehiculos; Vehiculos pequenos; Vehiculos pequeños; Small Vehicles \|

	## Label color plan (6-digit HEX)

	\| ID \| Class \| HEX \|
	\| --- \| --- \| --- \|
	\| 0 \| Background \| `#000000` \|
	\| 1 \| Building \| `#8A6A3D` \|
	\| 2 \| Mining raft \| `#7BEBFB` \|
	\| 3 \| Primary Forest \| `#B04C18` \|
	\| 4 \| Heavy machinery \| `#EE92C6` \|
	\| 5 \| Water bodies \| `#4F6F6F` \|
	\| 6 \| Agricultural crop \| `#84D08C` \|
	\| 7 \| Compact mounds \| `#23F3E3` \|
	\| 8 \| Gravel mounds \| `#585400` \|
	\| 9 \| Grass \| `#8DB51D` \|
	\| 10 \| Type 1 natural regeneration \| `#C2163A` \|
	\| 11 \| Type 2 natural regeneration \| `#F77757` \|
	\| 12 \| Bare ground \| `#2CD874` \|
	\| 13 \| Sluice \| `#613991` \|
	\| 14 \| Vehicles \| `#969AAE` \|

	## Per-site classes using ELDOR merged mapping

	\| Site \| Split \| Output ortho PNG \| Output label PNG \| Output size (W x H px) \| Output total pixels \| Merged class IDs present \| Merged class names present \|
	\| --- \| --- \| --- \| --- \| --- \| ---: \| --- \| --- \|
	\| AcumulacionAaron2B \| train \| `AcumulacionAaron2B.png` \| `AcumulacionAaron2B.png` \| 38122x17643 \| 672,586,446 \| 1,2,3,4,5,6,8,10,11,12,13,14 \| Building; Mining raft; Primary Forest; Heavy machinery; Water bodies; Agricultural crop; Gravel mounds; Type 1 natural regeneration; Type 2 natural regeneration; Bare ground; Sluice; Vehicles \|
	\| Kotsimba \| train \| `Kotsimba.png` \| `Kotsimba.png` \| 57328x53959 \| 3,093,361,552 \| 1,3,5,6,7,10,11,12 \| Building; Primary Forest; Water bodies; Agricultural crop; Compact mounds; Type 1 natural regeneration; Type 2 natural regeneration; Bare ground \|
	\| Los5Rebeldes \| train \| `Los5Rebeldes.png` \| `Los5Rebeldes.png` \| 33490x66672 \| 2,232,845,280 \| 1,3,5,6,7,10,11,12,14 \| Building; Primary Forest; Water bodies; Agricultural crop; Compact mounds; Type 1 natural regeneration; Type 2 natural regeneration; Bare ground; Vehicles \|
	\| PlayaMirador1 \| train \| `PlayaMirador1.png` \| `PlayaMirador1.png` \| 17624x8883 \| 156,553,992 \| 1,3,5,6,9,10,11,12 \| Building; Primary Forest; Water bodies; Agricultural crop; Grass; Type 1 natural regeneration; Type 2 natural regeneration; Bare ground \|
	\| Clavelito \| val \| `Clavelito.png` \| `Clavelito.png` \| 19556x40304 \| 788,185,024 \| 1,3,4,5,6,7,10,11,12 \| Building; Primary Forest; Heavy machinery; Water bodies; Agricultural crop; Compact mounds; Type 1 natural regeneration; Type 2 natural regeneration; Bare ground \|
	\| Nayda \| val \| `Nayda.png` \| `Nayda.png` \| 17954x17908 \| 321,520,232 \| 1,2,3,5,6,8,10,11,12,13 \| Building; Mining raft; Primary Forest; Water bodies; Agricultural crop; Gravel mounds; Type 1 natural regeneration; Type 2 natural regeneration; Bare ground; Sluice \|
	\| PlayaMirador2 \| val \| `PlayaMirador2.png` \| `PlayaMirador2.png` \| 17624x8883 \| 156,553,992 \| 1,3,5,6,9,10,11,12 \| Building; Primary Forest; Water bodies; Agricultural crop; Grass; Type 1 natural regeneration; Type 2 natural regeneration; Bare ground \|
	\| Anel \| test \| `Anel.png` \| `Anel.png` \| 18274x18420 \| 336,607,080 \| 1,2,3,5,6,8,10,11,12,13 \| Building; Mining raft; Primary Forest; Water bodies; Agricultural crop; Gravel mounds; Type 1 natural regeneration; Type 2 natural regeneration; Bare ground; Sluice \|
	\| ElEngano \| test \| `ElEngano.png` \| `ElEngano.png` \| 17575x17770 \| 312,307,750 \| 3,5,6,10,11,12 \| Primary Forest; Water bodies; Agricultural crop; Type 1 natural regeneration; Type 2 natural regeneration; Bare ground \|
	\| Linda \| test \| `Linda.png` \| `Linda.png` \| 17852x17888 \| 319,336,576 \| 1,2,3,5,10,11,12,13 \| Building; Mining raft; Primary Forest; Water bodies; Type 1 natural regeneration; Type 2 natural regeneration; Bare ground; Sluice \|
	\| Paolita \| test \| `Paolita.png` \| `Paolita.png` \| 53943x27054 \| 1,459,373,922 \| 1,2,3,5,6,8,10,11,12,13 \| Building; Mining raft; Primary Forest; Water bodies; Agricultural crop; Gravel mounds; Type 1 natural regeneration; Type 2 natural regeneration; Bare ground; Sluice \|
	\| SantaInesDosMil \| test \| `SantaInesDosMil.png` \| `SantaInesDosMil.png` \| 17387x17267 \| 300,221,329 \| 1,3,5,6,10,11,12 \| Building; Primary Forest; Water bodies; Agricultural crop; Type 1 natural regeneration; Type 2 natural regeneration; Bare ground \|

	## Generation workflow

	- Source orthomosaic/label alignment and original canonical labels come from `GoldMining/Data`.
	- ELDOR labels are remapped from the original 19-class canonical IDs into a 14-class merged scheme (stored only under `data/*/label`).
	- Merge rules:
	- `Heavy machinery` = original IDs 5 (Front loader), 8 (Excavator), 9 (Heavy machinery), 19 (Dump truck)
	- `Vehicles` = original IDs 17 (Vehicles), 18 (Small vehicles)
	- `Building` = original IDs 1 (Urban area), 4 (Mining camp)
	- Heatmap output: `site_class_pixel_counts_heatmap_merged.png`
	- Heatmap CSV: `site_class_pixel_counts_merged.csv`
	- Train/val/test distribution plot: `train_val_test_class_distribution_merged.png`
	- Train/val/test distribution CSV: `train_val_test_class_distribution_merged.csv`

	## Cropped patch dataset (`data-cropped`)

	- Output root: `data-cropped`
	- Patch size: `512x512`
	- Stride: `256`
	- Filtering rule: drop a patch if background pixels in the merged label (`label==0`) are `>80%`.
	- Windowing rule: full windows only (no padding).
	- Patch naming: matching basenames per pair, e.g. image `AcumulacionAaron2B_2_3.jpg` and label `AcumulacionAaron2B_2_3.png` (1-based row/col indices).
	- Storage format: image patches = JPEG, label patches = PNG (lossless class IDs).
	- Folder structure: `train/image`, `train/label`, `val/image`, `val/label`, `test/image`, `test/label`.

	### Crop summary by split

	\| Split \| # Sites \| Candidate windows \| Kept patches \| Dropped (>80% bg) \| Kept ratio \|
	\| --- \| ---: \| ---: \| ---: \| ---: \| ---: \|
	\| train \| 4 \| 91,869 \| 65,798 \| 26,071 \| 0.716 \|
	\| val \| 3 \| 18,603 \| 15,988 \| 2,615 \| 0.859 \|
	\| test \| 5 \| 40,172 \| 40,095 \| 77 \| 0.998 \|
	\| Total \| 12 \| 150,644 \| 121,881 \| 28,763 \| 0.809 \|

	### Crop summary by site

	\| Split \| Site \| Source size (W x H) \| Candidate windows \| Kept patches \| Dropped (>80% bg) \| Kept ratio \|
	\| --- \| --- \| --- \| ---: \| ---: \| ---: \| ---: \|
	\| train \| AcumulacionAaron2B \| 38122x17643 \| 9,849 \| 9,849 \| 0 \| 1.000 \|
	\| train \| Kotsimba \| 57328x53959 \| 46,398 \| 20,327 \| 26,071 \| 0.438 \|
	\| train \| Los5Rebeldes \| 33490x66672 \| 33,411 \| 33,411 \| 0 \| 1.000 \|
	\| train \| PlayaMirador1 \| 17624x8883 \| 2,211 \| 2,211 \| 0 \| 1.000 \|
	\| val \| Clavelito \| 19556x40304 \| 11,700 \| 9,085 \| 2,615 \| 0.776 \|
	\| val \| Nayda \| 17954x17908 \| 4,692 \| 4,692 \| 0 \| 1.000 \|
	\| val \| PlayaMirador2 \| 17624x8883 \| 2,211 \| 2,211 \| 0 \| 1.000 \|
	\| test \| Anel \| 18274x18420 \| 4,900 \| 4,890 \| 10 \| 0.998 \|
	\| test \| ElEngano \| 17575x17770 \| 4,556 \| 4,556 \| 0 \| 1.000 \|
	\| test \| Linda \| 17852x17888 \| 4,624 \| 4,577 \| 47 \| 0.990 \|
	\| test \| Paolita \| 53943x27054 \| 21,736 \| 21,716 \| 20 \| 0.999 \|
	\| test \| SantaInesDosMil \| 17387x17267 \| 4,356 \| 4,356 \| 0 \| 1.000 \|

	- Summary CSVs:
	- `data-cropped/crop_summary_by_split.csv`
	- `data-cropped/crop_summary_by_site.csv`

	## Download and reproduce patches

	The repository contains the 12 aligned site images and their label maps, organized into the original train/validation/test splits. The full set of cropped training patches is generated from these files using the anonymous benchmark code; it is not a separate download in this repository.

	```python
	from huggingface_hub import snapshot_download

	snapshot_download(repo_id="ICLR-Review23/ELDOR", repo_type="dataset", local_dir="data")
	```

	For an already cropped single-site sample, see [ELDOR-sample](https://huggingface.co/datasets/ICLR-Review23/ELDOR-sample). The class mappings, site metadata, and split assignments above are preserved from the dataset specification.

	---
	pretty_name: ELDOR
	task_categories:
	- image-segmentation
	tags:
	- remote-sensing
	- semantic-segmentation
	- uav
	- orthomosaic
	---

	# ELDOR Data

	Anonymous dataset release for peer review. This repository contains imagery, labels, and dataset documentation. Model checkpoints are not included.

	[Anonymous benchmark code](https://anonymous.4open.science/r/ELDOR-anonymous-review-D076/)

	- Public dataset name: `ELDOR`
	- Local dataset root: `data`
	- Output folders: `train/image`, `train/label`, `val/image`, `val/label`, `test/image`, `test/label` (copied from `GoldMining/Data/Orthomosaic` and `GoldMining/Data/Label`).
	- Source folders: `Drone_Orthomosaic_V1/Orthomosaic_org` and `Drone_Orthomosaic_V1/Just_labels`
	- Matching rule: label to orthomosaic by filename mapping, then crop/reproject label to orthomosaic grid.
	- Canonical labels: 14 semantic classes (`1..14`) plus `0=Background` after class merging in ELDOR.
	- Split rule in this dataset: train/val/test assignment is listed in the `Split` column of the spatial metadata table.

	## Spatial metadata table (source files + aligned output)

	\| Site \| Ortho file \| Label source file \| CRS \| Ortho size (W x H px) \| Label size (W x H px) \| Ortho res (m/px x,y) \| Label res (m/px x,y) \| Ortho lon range \| Ortho lat range \| Label lon range \| Label lat range \| Output size (W x H px) \| Foreground area (ha) \| Acquisition date \| Split \|
	\| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| ---: \| --- \| --- \|
	\| AcumulacionAaron2B \| `AcumulacionAaron2B_corrected.tif` \| `AcumulacionAaron2B_classified_corrected.tif` \| EPSG:32719 \| 38122x17643 \| 38111x17760 \| 0.056308, 0.056308 \| 0.056323, 0.055936 \| [-70.419597, -70.399788] \| [-12.627643, -12.618558] \| [-70.419597, -70.399788] \| [-12.627643, -12.618558] \| 38122x17643 \| 212.0501 \| 2022-04-24 \| train \|
	\| Anel \| `Anel_corrected.tif` \| `Anel_classified_corrected.tif` \| EPSG:32719 \| 26909x24725 \| 17662x17661 \| 0.056620, 0.056620 \| 0.058580, 0.059049 \| [-69.714044, -69.699976] \| [-12.713767, -12.701071] \| [-69.711529, -69.701974] \| [-12.711964, -12.702509] \| 18274x18420 \| 102.7175 \| 2022-04-08 \| test \|
	\| Clavelito \| `Clavelito_corrected.tif` \| `Clavelito_classified_corrected.tif` \| EPSG:32719 \| 19865x40307 \| 19357x39684 \| 0.075601, 0.075601 \| 0.076376, 0.076781 \| [-70.605945, -70.591929] \| [-12.961391, -12.933761] \| [-70.605944, -70.592143] \| [-12.961387, -12.933761] \| 19556x40304 \| 344.5330 \| 2022-05-09 \| val \|
	\| ElEngano \| `ElEngano_corrected.tif` \| `ElEngano_classified_corrected.tif` \| EPSG:32719 \| 23616x24742 \| 17473x17473 \| 0.057233, 0.057233 \| 0.057566, 0.058201 \| [-69.962478, -69.949966] \| [-13.020161, -13.007312] \| [-69.960769, -69.951459] \| [-13.018407, -13.009178] \| 17575x17770 \| 101.2404 \| 2022-03-03 \| test \|
	\| Kotsimba \| `Kotsimba_corrected.tif` \| `Kotsimba_classified_corrected.tif` \| EPSG:32719 \| 57331x53961 \| 57227x53950 \| 0.072760, 0.072760 \| 0.072889, 0.072771 \| [-70.283655, -70.244998] \| [-13.136635, -13.100951] \| [-70.283654, -70.244999] \| [-13.136634, -13.100952] \| 57328x53959 \| 693.7270 \| 2022-05-26 \| train \|
	\| Linda \| `Linda2_corrected.tif` \| `Linda_classified_corrected.tif` \| EPSG:32719 \| 23601x23698 \| 17352x17352 \| 0.057632, 0.057632 \| 0.059290, 0.059408 \| [-69.953378, -69.940789] \| [-13.020082, -13.007688] \| [-69.951874, -69.942353] \| [-13.018530, -13.009175] \| 17852x17888 \| 98.8187 \| 2022-02-28 \| test \|
	\| Los5Rebeldes \| `Los5Rebeldes_corrected.tif` \| `Los5Rebeldes_classified_corrected.tif` \| EPSG:32719 \| 43867x76279 \| 33334x66668 \| 0.030000, 0.030000 \| 0.030140, 0.030001 \| [-70.672354, -70.660084] \| [-13.034336, -13.013573] \| [-70.670932, -70.661549] \| [-13.032969, -13.014831] \| 33490x66672 \| 199.9257 \| 2022-02-04 \| train \|
	\| Nayda \| `Nayda_corrected.tif` \| `Nayda_classified_corrected.tif` \| EPSG:32719 \| 22677x23480 \| 17665x17665 \| 0.056610, 0.056610 \| 0.057532, 0.057385 \| [-69.721603, -69.709746] \| [-12.713363, -12.701313] \| [-69.720152, -69.710766] \| [-12.711798, -12.702607] \| 17954x17908 \| 101.9933 \| 2022-08-04 \| val \|
	\| Paolita \| `Paolita1_corrected.tif` \| `Paolita1_classified_corrected.tif` \| EPSG:32719 \| 58663x33523 \| 54108x27055 \| 0.055446, 0.055446 \| 0.055275, 0.055441 \| [-69.630457, -69.600462] \| [-12.689889, -12.673012] \| [-69.629627, -69.602050] \| [-12.688983, -12.675355] \| 53943x27054 \| 445.5226 \| 2022-02-21 \| test \|
	\| PlayaMirador1 \| `PlayaMirador_corrected.tif` \| `PlayaMirador_classified_corrected.tif` \| EPSG:32719 \| 22911x22394 \| 17608x17608 \| 0.056792, 0.056792 \| 0.056840, 0.057298 \| [-70.377536, -70.365474] \| [-13.063390, -13.051829] \| [-70.376072, -70.366793] \| [-13.062030, -13.057446] \| 17624x8883 \| 50.1027 \| 2022-03-10 \| train \|
	\| PlayaMirador2 \| `PlayaMirador_corrected.tif` \| `PlayaMirador_classified_corrected.tif` \| EPSG:32719 \| 22911x22394 \| 17608x17608 \| 0.056792, 0.056792 \| 0.056840, 0.057298 \| [-70.377536, -70.365474] \| [-13.063390, -13.051829] \| [-70.376072, -70.366793] \| [-13.057446, -13.052861] \| 17624x8883 \| 50.1021 \| 2022-03-10 \| val \|
	\| SantaInesDosMil \| `SantaInesDosMil_corrected.tif` \| `SantaInesDosMil_classified_corrected.tif` \| EPSG:32719 \| 22883x24295 \| 17185x17184 \| 0.058193, 0.058193 \| 0.058873, 0.058471 \| [-70.386657, -70.374307] \| [-13.063436, -13.050589] \| [-70.385274, -70.375895] \| [-13.061789, -13.052656] \| 17387x17267 \| 100.9625 \| 2022-03-10 \| test \|

	## Unified class mapping (ELDOR merged classes)

	\| Canonical ID \| Class \| Merged from original IDs \| Color swatch \| Color (HEX) \| Area (ha) \| Percentage (%) \| Pixel count \| Alias names seen in metadata \|
	\| --- \| --- \| --- \| --- \| --- \| ---: \| ---: \| ---: \| --- \|
	\| 1 \| Building \| 1,4 \| <span style="display:inline-block;width:14px;height:14px;background:#8A6A3D;border:1px solid #222;"></span> \| `#8A6A3D` \| 2.3745 \| 0.09 \| 6,367,488 \| Area urbana; Campamento minero \|
	\| 2 \| Mining raft \| 2 \| <span style="display:inline-block;width:14px;height:14px;background:#7BEBFB;border:1px solid #222;"></span> \| `#7BEBFB` \| 0.1467 \| 0.01 \| 461,925 \| Balsa; Balsa de mineria; Raft \|
	\| 3 \| Primary Forest \| 3 \| <span style="display:inline-block;width:14px;height:14px;background:#B04C18;border:1px solid #222;"></span> \| `#B04C18` \| 961.8239 \| 38.45 \| 3,308,805,552 \| Bosque primario; Primary forest \|
	\| 4 \| Heavy machinery \| 5,8,9,19 \| <span style="display:inline-block;width:14px;height:14px;background:#EE92C6;border:1px solid #222;"></span> \| `#EE92C6` \| 0.0161 \| 0.00 \| 43,313 \| Cargador frontal; Excavadora; Maquinaria pesada; Volquete; Dump truck \|
	\| 5 \| Water bodies \| 6 \| <span style="display:inline-block;width:14px;height:14px;background:#4F6F6F;border:1px solid #222;"></span> \| `#4F6F6F` \| 321.2655 \| 12.84 \| 1,085,789,506 \| Cuerpos de agua \|
	\| 6 \| Agricultural crop \| 7 \| <span style="display:inline-block;width:14px;height:14px;background:#84D08C;border:1px solid #222;"></span> \| `#84D08C` \| 33.5185 \| 1.34 \| 105,688,237 \| Cultivos agricolas; Cultivo agricola; Cultivos; Crops \|
	\| 7 \| Compact mounds \| 10 \| <span style="display:inline-block;width:14px;height:14px;background:#23F3E3;border:1px solid #222;"></span> \| `#23F3E3` \| 66.2310 \| 2.65 \| 215,787,431 \| Monticulo compacto; Compact mound \|
	\| 8 \| Gravel mounds \| 11 \| <span style="display:inline-block;width:14px;height:14px;background:#585400;border:1px solid #222;"></span> \| `#585400` \| 13.2680 \| 0.53 \| 42,049,847 \| Monticulos de cascajo \|
	\| 9 \| Grass \| 12 \| <span style="display:inline-block;width:14px;height:14px;background:#8DB51D;border:1px solid #222;"></span> \| `#8DB51D` \| 28.3472 \| 1.13 \| 87,888,718 \| Pasto \|
	\| 10 \| Type 1 natural regeneration \| 13 \| <span style="display:inline-block;width:14px;height:14px;background:#C2163A;border:1px solid #222;"></span> \| `#C2163A` \| 228.5563 \| 9.14 \| 660,993,175 \| Regeneracion natural tipo 1; Regeneracion tipo 1; Type 1 disturbed vegetation \|
	\| 11 \| Type 2 natural regeneration \| 14 \| <span style="display:inline-block;width:14px;height:14px;background:#F77757;border:1px solid #222;"></span> \| `#F77757` \| 523.1002 \| 20.91 \| 1,710,062,485 \| Regeneracion natural tipo 2; Regeneracion tipo 2; Type 2 disturbed vegetation \|
	\| 12 \| Bare ground \| 15 \| <span style="display:inline-block;width:14px;height:14px;background:#2CD874;border:1px solid #222;"></span> \| `#2CD874` \| 322.9909 \| 12.91 \| 882,535,708 \| Suelo desnudo; Bare soil \|
	\| 13 \| Sluice \| 16 \| <span style="display:inline-block;width:14px;height:14px;background:#613991;border:1px solid #222;"></span> \| `#613991` \| 0.0403 \| 0.00 \| 126,368 \| Tolva; Tolvas; Hopper \|
	\| 14 \| Vehicles \| 17,18 \| <span style="display:inline-block;width:14px;height:14px;background:#969AAE;border:1px solid #222;"></span> \| `#969AAE` \| 0.0092 \| 0.00 \| 85,244 \| Vehiculos; Vehiculos pequenos; Vehiculos pequeños; Small Vehicles \|

	## Label color plan (6-digit HEX)

	\| ID \| Class \| HEX \|
	\| --- \| --- \| --- \|
	\| 0 \| Background \| `#000000` \|
	\| 1 \| Building \| `#8A6A3D` \|
	\| 2 \| Mining raft \| `#7BEBFB` \|
	\| 3 \| Primary Forest \| `#B04C18` \|
	\| 4 \| Heavy machinery \| `#EE92C6` \|
	\| 5 \| Water bodies \| `#4F6F6F` \|
	\| 6 \| Agricultural crop \| `#84D08C` \|
	\| 7 \| Compact mounds \| `#23F3E3` \|
	\| 8 \| Gravel mounds \| `#585400` \|
	\| 9 \| Grass \| `#8DB51D` \|
	\| 10 \| Type 1 natural regeneration \| `#C2163A` \|
	\| 11 \| Type 2 natural regeneration \| `#F77757` \|
	\| 12 \| Bare ground \| `#2CD874` \|
	\| 13 \| Sluice \| `#613991` \|
	\| 14 \| Vehicles \| `#969AAE` \|

	## Per-site classes using ELDOR merged mapping

	\| Site \| Split \| Output ortho PNG \| Output label PNG \| Output size (W x H px) \| Output total pixels \| Merged class IDs present \| Merged class names present \|
	\| --- \| --- \| --- \| --- \| --- \| ---: \| --- \| --- \|
	\| AcumulacionAaron2B \| train \| `AcumulacionAaron2B.png` \| `AcumulacionAaron2B.png` \| 38122x17643 \| 672,586,446 \| 1,2,3,4,5,6,8,10,11,12,13,14 \| Building; Mining raft; Primary Forest; Heavy machinery; Water bodies; Agricultural crop; Gravel mounds; Type 1 natural regeneration; Type 2 natural regeneration; Bare ground; Sluice; Vehicles \|
	\| Kotsimba \| train \| `Kotsimba.png` \| `Kotsimba.png` \| 57328x53959 \| 3,093,361,552 \| 1,3,5,6,7,10,11,12 \| Building; Primary Forest; Water bodies; Agricultural crop; Compact mounds; Type 1 natural regeneration; Type 2 natural regeneration; Bare ground \|
	\| Los5Rebeldes \| train \| `Los5Rebeldes.png` \| `Los5Rebeldes.png` \| 33490x66672 \| 2,232,845,280 \| 1,3,5,6,7,10,11,12,14 \| Building; Primary Forest; Water bodies; Agricultural crop; Compact mounds; Type 1 natural regeneration; Type 2 natural regeneration; Bare ground; Vehicles \|
	\| PlayaMirador1 \| train \| `PlayaMirador1.png` \| `PlayaMirador1.png` \| 17624x8883 \| 156,553,992 \| 1,3,5,6,9,10,11,12 \| Building; Primary Forest; Water bodies; Agricultural crop; Grass; Type 1 natural regeneration; Type 2 natural regeneration; Bare ground \|
	\| Clavelito \| val \| `Clavelito.png` \| `Clavelito.png` \| 19556x40304 \| 788,185,024 \| 1,3,4,5,6,7,10,11,12 \| Building; Primary Forest; Heavy machinery; Water bodies; Agricultural crop; Compact mounds; Type 1 natural regeneration; Type 2 natural regeneration; Bare ground \|
	\| Nayda \| val \| `Nayda.png` \| `Nayda.png` \| 17954x17908 \| 321,520,232 \| 1,2,3,5,6,8,10,11,12,13 \| Building; Mining raft; Primary Forest; Water bodies; Agricultural crop; Gravel mounds; Type 1 natural regeneration; Type 2 natural regeneration; Bare ground; Sluice \|
	\| PlayaMirador2 \| val \| `PlayaMirador2.png` \| `PlayaMirador2.png` \| 17624x8883 \| 156,553,992 \| 1,3,5,6,9,10,11,12 \| Building; Primary Forest; Water bodies; Agricultural crop; Grass; Type 1 natural regeneration; Type 2 natural regeneration; Bare ground \|
	\| Anel \| test \| `Anel.png` \| `Anel.png` \| 18274x18420 \| 336,607,080 \| 1,2,3,5,6,8,10,11,12,13 \| Building; Mining raft; Primary Forest; Water bodies; Agricultural crop; Gravel mounds; Type 1 natural regeneration; Type 2 natural regeneration; Bare ground; Sluice \|
	\| ElEngano \| test \| `ElEngano.png` \| `ElEngano.png` \| 17575x17770 \| 312,307,750 \| 3,5,6,10,11,12 \| Primary Forest; Water bodies; Agricultural crop; Type 1 natural regeneration; Type 2 natural regeneration; Bare ground \|
	\| Linda \| test \| `Linda.png` \| `Linda.png` \| 17852x17888 \| 319,336,576 \| 1,2,3,5,10,11,12,13 \| Building; Mining raft; Primary Forest; Water bodies; Type 1 natural regeneration; Type 2 natural regeneration; Bare ground; Sluice \|
	\| Paolita \| test \| `Paolita.png` \| `Paolita.png` \| 53943x27054 \| 1,459,373,922 \| 1,2,3,5,6,8,10,11,12,13 \| Building; Mining raft; Primary Forest; Water bodies; Agricultural crop; Gravel mounds; Type 1 natural regeneration; Type 2 natural regeneration; Bare ground; Sluice \|
	\| SantaInesDosMil \| test \| `SantaInesDosMil.png` \| `SantaInesDosMil.png` \| 17387x17267 \| 300,221,329 \| 1,3,5,6,10,11,12 \| Building; Primary Forest; Water bodies; Agricultural crop; Type 1 natural regeneration; Type 2 natural regeneration; Bare ground \|

	## Generation workflow

	- Source orthomosaic/label alignment and original canonical labels come from `GoldMining/Data`.
	- ELDOR labels are remapped from the original 19-class canonical IDs into a 14-class merged scheme (stored only under `data/*/label`).
	- Merge rules:
	- `Heavy machinery` = original IDs 5 (Front loader), 8 (Excavator), 9 (Heavy machinery), 19 (Dump truck)
	- `Vehicles` = original IDs 17 (Vehicles), 18 (Small vehicles)
	- `Building` = original IDs 1 (Urban area), 4 (Mining camp)
	- Heatmap output: `site_class_pixel_counts_heatmap_merged.png`
	- Heatmap CSV: `site_class_pixel_counts_merged.csv`
	- Train/val/test distribution plot: `train_val_test_class_distribution_merged.png`
	- Train/val/test distribution CSV: `train_val_test_class_distribution_merged.csv`

	## Cropped patch dataset (`data-cropped`)

	- Output root: `data-cropped`
	- Patch size: `512x512`
	- Stride: `256`
	- Filtering rule: drop a patch if background pixels in the merged label (`label==0`) are `>80%`.
	- Windowing rule: full windows only (no padding).
	- Patch naming: matching basenames per pair, e.g. image `AcumulacionAaron2B_2_3.jpg` and label `AcumulacionAaron2B_2_3.png` (1-based row/col indices).
	- Storage format: image patches = JPEG, label patches = PNG (lossless class IDs).
	- Folder structure: `train/image`, `train/label`, `val/image`, `val/label`, `test/image`, `test/label`.

	### Crop summary by split

	\| Split \| # Sites \| Candidate windows \| Kept patches \| Dropped (>80% bg) \| Kept ratio \|
	\| --- \| ---: \| ---: \| ---: \| ---: \| ---: \|
	\| train \| 4 \| 91,869 \| 65,798 \| 26,071 \| 0.716 \|
	\| val \| 3 \| 18,603 \| 15,988 \| 2,615 \| 0.859 \|
	\| test \| 5 \| 40,172 \| 40,095 \| 77 \| 0.998 \|
	\| Total \| 12 \| 150,644 \| 121,881 \| 28,763 \| 0.809 \|

	### Crop summary by site

	\| Split \| Site \| Source size (W x H) \| Candidate windows \| Kept patches \| Dropped (>80% bg) \| Kept ratio \|
	\| --- \| --- \| --- \| ---: \| ---: \| ---: \| ---: \|
	\| train \| AcumulacionAaron2B \| 38122x17643 \| 9,849 \| 9,849 \| 0 \| 1.000 \|
	\| train \| Kotsimba \| 57328x53959 \| 46,398 \| 20,327 \| 26,071 \| 0.438 \|
	\| train \| Los5Rebeldes \| 33490x66672 \| 33,411 \| 33,411 \| 0 \| 1.000 \|
	\| train \| PlayaMirador1 \| 17624x8883 \| 2,211 \| 2,211 \| 0 \| 1.000 \|
	\| val \| Clavelito \| 19556x40304 \| 11,700 \| 9,085 \| 2,615 \| 0.776 \|
	\| val \| Nayda \| 17954x17908 \| 4,692 \| 4,692 \| 0 \| 1.000 \|
	\| val \| PlayaMirador2 \| 17624x8883 \| 2,211 \| 2,211 \| 0 \| 1.000 \|
	\| test \| Anel \| 18274x18420 \| 4,900 \| 4,890 \| 10 \| 0.998 \|
	\| test \| ElEngano \| 17575x17770 \| 4,556 \| 4,556 \| 0 \| 1.000 \|
	\| test \| Linda \| 17852x17888 \| 4,624 \| 4,577 \| 47 \| 0.990 \|
	\| test \| Paolita \| 53943x27054 \| 21,736 \| 21,716 \| 20 \| 0.999 \|
	\| test \| SantaInesDosMil \| 17387x17267 \| 4,356 \| 4,356 \| 0 \| 1.000 \|

	- Summary CSVs:
	- `data-cropped/crop_summary_by_split.csv`
	- `data-cropped/crop_summary_by_site.csv`

	## Download and reproduce patches

	The repository contains the 12 aligned site images and their label maps, organized into the original train/validation/test splits. The full set of cropped training patches is generated from these files using the anonymous benchmark code; it is not a separate download in this repository.

	```python
	from huggingface_hub import snapshot_download

	snapshot_download(repo_id="ICLR-Review23/ELDOR", repo_type="dataset", local_dir="data")
	```

	For an already cropped single-site sample, see [ELDOR-sample](https://huggingface.co/datasets/ICLR-Review23/ELDOR-sample). The class mappings, site metadata, and split assignments above are preserved from the dataset specification.