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- patches/metadata.csv +0 -0
- sample_manifest.json +33 -0
- site/labels/AcumulacionAaron2B.png +3 -0
- site/metadata.csv +2 -0
README.md
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---
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configs:
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- config_name: site
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data_files:
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- split: sample
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path: site/metadata.csv
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default: true
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- config_name: patches
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data_files:
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- split: sample
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path: patches/metadata.csv
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pretty_name: ELDOR Sample
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task_categories:
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- image-segmentation
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tags:
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- remote-sensing
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- semantic-segmentation
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- uav
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- orthomosaic
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---
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# ELDOR Sample
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This repository is the reviewer-facing sample companion to the full `ELDOR` dataset:
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- Full dataset: `https://huggingface.co/datasets/IRSC/ELDOR`
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- Purpose: provide an inspectable representative sample for the NeurIPS 2026 Evaluations and Datasets Track when the full dataset is larger than 4GB.
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## What this sample contains
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This sample contains one representative site and all of its released patches:
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- Representative site: `AcumulacionAaron2B` (`train` split)
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- Site-level aligned orthomosaic image and pixel-aligned label map
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- All released `512x512` patches derived from that site with `256` stride and the public crop filter used in ELDOR
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Two dataset configurations are exposed:
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- `site`: the full aligned site-level image/label pair
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- `patches`: every released patch derived from that site
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## How the sample was created
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The sample was created deterministically from the public ELDOR release:
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1. We selected `AcumulacionAaron2B` because it has the broadest per-site class coverage in the public release: 12 of the 14 foreground classes.
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2. We copied the exact released aligned orthomosaic PNG and label PNG for that site from the full dataset.
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3. We copied every released patch derived from that site from the public `data-cropped` export without additional filtering beyond the original ELDOR crop pipeline.
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The public crop pipeline used for ELDOR is:
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- patch size: `512x512`
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- stride: `256`
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- full windows only, no padding
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- drop a patch if background exceeds `80%`
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- patch images stored as JPEG and patch labels stored as PNG
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This sample includes the following foreground classes:
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- Building
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- Mining raft
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- Primary Forest
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- Heavy machinery
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- Water bodies
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- Agricultural crop
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- Gravel mounds
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- Type 1 natural regeneration
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- Type 2 natural regeneration
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- Bare ground
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- Sluice
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- Vehicles
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Foreground classes present in the full dataset but not in this single-site sample:
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- Compact mounds
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- Grass
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## Sample size summary
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- Site subset: 1 aligned image/label pair, `1.481` GB
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- Patch subset: `9849` image patches and `9849` label patches, `1.352` GB
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- Total sample size: `2.832` GB
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## File organization
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### `site` configuration
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- `site/images/AcumulacionAaron2B.png`
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- `site/labels/AcumulacionAaron2B.png`
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- `site/metadata.csv`
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### `patches` configuration
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- `patches/images/AcumulacionAaron2B_<row>_<col>.jpg`
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- `patches/labels/AcumulacionAaron2B_<row>_<col>.png`
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- `patches/metadata.csv`
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Patch filename indices are 1-based row and column indices in the released crop grid.
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patches/images/AcumulacionAaron2B_10_1.jpg
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Git LFS Details
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patches/images/AcumulacionAaron2B_10_10.jpg
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patches/images/AcumulacionAaron2B_10_100.jpg
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patches/images/AcumulacionAaron2B_10_101.jpg
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patches/images/AcumulacionAaron2B_10_102.jpg
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patches/images/AcumulacionAaron2B_10_103.jpg
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patches/images/AcumulacionAaron2B_10_104.jpg
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patches/images/AcumulacionAaron2B_10_105.jpg
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patches/images/AcumulacionAaron2B_10_106.jpg
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patches/images/AcumulacionAaron2B_10_107.jpg
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patches/images/AcumulacionAaron2B_10_108.jpg
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patches/images/AcumulacionAaron2B_10_109.jpg
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patches/images/AcumulacionAaron2B_10_11.jpg
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patches/images/AcumulacionAaron2B_10_110.jpg
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patches/images/AcumulacionAaron2B_10_111.jpg
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patches/images/AcumulacionAaron2B_10_112.jpg
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patches/images/AcumulacionAaron2B_10_113.jpg
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patches/images/AcumulacionAaron2B_10_114.jpg
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patches/images/AcumulacionAaron2B_10_115.jpg
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patches/images/AcumulacionAaron2B_10_116.jpg
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patches/images/AcumulacionAaron2B_10_117.jpg
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patches/images/AcumulacionAaron2B_10_118.jpg
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patches/images/AcumulacionAaron2B_10_119.jpg
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patches/images/AcumulacionAaron2B_10_12.jpg
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patches/images/AcumulacionAaron2B_10_120.jpg
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patches/images/AcumulacionAaron2B_10_121.jpg
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patches/images/AcumulacionAaron2B_10_122.jpg
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patches/images/AcumulacionAaron2B_10_123.jpg
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patches/images/AcumulacionAaron2B_10_124.jpg
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patches/images/AcumulacionAaron2B_10_125.jpg
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patches/images/AcumulacionAaron2B_10_126.jpg
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patches/images/AcumulacionAaron2B_10_127.jpg
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patches/images/AcumulacionAaron2B_10_128.jpg
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patches/images/AcumulacionAaron2B_10_129.jpg
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patches/images/AcumulacionAaron2B_10_13.jpg
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patches/images/AcumulacionAaron2B_10_130.jpg
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patches/images/AcumulacionAaron2B_10_131.jpg
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patches/images/AcumulacionAaron2B_10_132.jpg
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patches/images/AcumulacionAaron2B_10_133.jpg
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patches/images/AcumulacionAaron2B_10_134.jpg
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patches/images/AcumulacionAaron2B_10_135.jpg
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patches/images/AcumulacionAaron2B_10_136.jpg
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patches/images/AcumulacionAaron2B_10_137.jpg
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patches/images/AcumulacionAaron2B_10_138.jpg
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patches/images/AcumulacionAaron2B_10_14.jpg
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patches/metadata.csv
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sample_manifest.json
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{
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"selected_site": "AcumulacionAaron2B",
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"selected_split": "train",
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"site_classes_present": [
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"Building",
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"Mining raft",
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"Primary Forest",
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"Heavy machinery",
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"Water bodies",
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"Agricultural crop",
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"Gravel mounds",
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"Type 1 natural regeneration",
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"Type 2 natural regeneration",
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"Bare ground",
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"Sluice",
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"Vehicles"
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],
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"missing_classes_from_sample": [
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"Compact mounds",
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"Grass"
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],
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"site_stats": {
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"site_width": 38122,
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"site_height": 17643,
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"site_image_bytes": 1584597316,
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"site_label_bytes": 5277795
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},
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"patch_stats": {
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"patch_count": 9849,
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"patch_image_bytes": 1421142529,
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"patch_label_bytes": 30032337
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}
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}
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site/labels/AcumulacionAaron2B.png
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site/metadata.csv
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site_id,split,image_file_name,label_file_name,width,height,foreground_classes_present,sample_creation_note
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AcumulacionAaron2B,train,images/AcumulacionAaron2B.png,labels/AcumulacionAaron2B.png,38122,17643,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,Selected as the representative sample site because it has the broadest class coverage in the public release (12 of 14 foreground classes).
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