| --- |
| library_name: pytorch |
| datasets: |
| - IRSC/ELDOR |
| pipeline_tag: image-segmentation |
| tags: |
| - remote-sensing |
| - semantic-segmentation |
| - multi-label-classification |
| - checkpoint |
| - illegal-mining |
| --- |
| |
| # ELDOR Model Artifacts |
|
|
| Model artifacts for ELDOR experiments. |
|
|
| - Paper: https://arxiv.org/abs/2605.15397 |
| - PDF: https://arxiv.org/pdf/2605.15397 |
| - Dataset: https://huggingface.co/datasets/IRSC/ELDOR |
| - Code: https://github.com/ckn3/GoldMiningMDD |
|
|
| ## Contents |
|
|
| - `segmentation/checkpoints/`: semantic segmentation checkpoints trained and evaluated on ELDOR |
| - `classification/`: multi-label classification checkpoints trained and evaluated on ELDOR |
|
|
| ## Citation |
|
|
| ```bibtex |
| @article{cui2026eldor, |
| title={ELDOR: A Dataset and Benchmark for Illegal Gold Mining in the Amazon Rainforest}, |
| author={Cui, Kangning and Bohara, Surendra and Prasai, Suraj and Shao, Zishan and Tang, Wei and Pillaca, Martin and Flores, Edwin and Yang, Zhen and Larsen, Gregory and Dethier, Evan and Lutz, David and Morel, Jean-Michel and Silman, Miles and Pauca, Victor and Yang, Fan}, |
| journal={arXiv preprint arXiv:2605.15397}, |
| year={2026} |
| } |
| ``` |
|
|
