| --- |
| configs: |
| - config_name: site |
| data_files: |
| - split: sample |
| path: site/metadata.csv |
| default: true |
| - config_name: patches |
| data_files: |
| - split: sample |
| path: patches/metadata.csv |
| pretty_name: ELDOR Sample |
| task_categories: |
| - image-segmentation |
| tags: |
| - remote-sensing |
| - semantic-segmentation |
| - uav |
| - orthomosaic |
| --- |
| |
| # ELDOR Sample |
|
|
| This repository is a compact sample companion to the full `ELDOR` dataset: |
|
|
| - Full dataset: `https://huggingface.co/datasets/IRSC/ELDOR` |
| - It is intended for quick inspection of the imagery, labels, and released patch extraction without downloading the full release. |
|
|
| ## What this sample contains |
|
|
| This sample contains one representative site and all of its released patches: |
|
|
| - Representative site: `AcumulacionAaron2B` (`train` split) |
| - Site-level aligned orthomosaic image and pixel-aligned label map |
| - All released `512x512` patches derived from that site with `256` stride and the public crop filter used in ELDOR |
|
|
| Two dataset configurations are exposed: |
|
|
| - `site`: the full aligned site-level image/label pair |
| - `patches`: every released patch derived from that site |
|
|
| ## How the sample was created |
|
|
| The sample was created deterministically from the public ELDOR release: |
|
|
| 1. We selected `AcumulacionAaron2B` because it has the broadest per-site class coverage in the public release: 12 of the 14 foreground classes. |
| 2. We copied the exact released aligned orthomosaic PNG and label PNG for that site from the full dataset. |
| 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. |
|
|
| The public crop pipeline used for ELDOR is: |
|
|
| - patch size: `512x512` |
| - stride: `256` |
| - full windows only, no padding |
| - drop a patch if background exceeds `80%` |
| - patch images stored as JPEG and patch labels stored as PNG |
|
|
| This sample includes the following foreground classes: |
|
|
| - 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 |
|
|
| Foreground classes present in the full dataset but not in this single-site sample: |
|
|
| - Compact mounds |
| - Grass |
|
|
| ## Sample size summary |
|
|
| - Site subset: 1 aligned image/label pair, `1.481` GB |
| - Patch subset: `9849` image patches and `9849` label patches, `1.352` GB |
| - Total sample size: `2.832` GB |
|
|
| ## File organization |
|
|
| ### `site` configuration |
|
|
| - `site/images/AcumulacionAaron2B.png` |
| - `site/labels/AcumulacionAaron2B.png` |
| - `site/metadata.csv` |
|
|
| ### `patches` configuration |
|
|
| - `patches/images/AcumulacionAaron2B_<row>_<col>.jpg` |
| - `patches/labels/AcumulacionAaron2B_<row>_<col>.png` |
| - `patches/metadata.csv` |
|
|
| Patch filename indices are 1-based row and column indices in the released crop grid. |
|
|