Datasets:
Update README.md
Browse files
README.md
CHANGED
|
@@ -77,10 +77,12 @@ OAM-TCD is a dataset of high-resolution (10 cm/px) tree cover maps with instance
|
|
| 77 |
|
| 78 |
Images in the dataset are provided as 2048x2048 px RGB GeoTIFF tiles. The dataset can be used to train both instance segmentation models and semantic segmentation models.
|
| 79 |
|
| 80 |
-
For more information please read [our preprint on arXiv](https://arxiv.org/abs/2407.11743).
|
| 81 |
|
| 82 |
[](https://doi.org/10.5281/zenodo.11617167)
|
| 83 |
|
|
|
|
|
|
|
| 84 |
### Dataset Description
|
| 85 |
|
| 86 |
- **Curated by:** Restor / ETH Zurich
|
|
|
|
| 77 |
|
| 78 |
Images in the dataset are provided as 2048x2048 px RGB GeoTIFF tiles. The dataset can be used to train both instance segmentation models and semantic segmentation models.
|
| 79 |
|
| 80 |
+
For more information please read [our preprint on arXiv](https://arxiv.org/abs/2407.11743). This paper was accepted into NeurIPS 2024 in the Datasets and Benchmarks track. The citation will be updated once the proceedings are online.
|
| 81 |
|
| 82 |
[](https://doi.org/10.5281/zenodo.11617167)
|
| 83 |
|
| 84 |
+
Please contact josh [at] restor.eco for any questions, or you can post an issue on the associated Github repository for support.
|
| 85 |
+
|
| 86 |
### Dataset Description
|
| 87 |
|
| 88 |
- **Curated by:** Restor / ETH Zurich
|