add arxiv

README.md

@@ -77,6 +77,8 @@ OAM-TCD is a dataset of high-resolution (10 cm/px) tree cover maps with instance
  
 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.
 
+For more information please read [our preprint on arXiv](https://arxiv.org/abs/2407.11743).
+
 ### Dataset Description
 
 - **Curated by:** Restor / ETH Zurich
@@ -208,15 +210,23 @@ Please read the bias information above and take it into when using the dataset.
 
 ## Citation
 
-If you use OAM-TCD in your own work or research, please cite our arXiv paper: and reference the dataset DOI.
+If you use OAM-TCD in your own work or research, please cite our arXiv paper: and reference the dataset DOI
 
 **BibTeX:**
 
-TBD
-
-**APA:**
-
-TBD
+After the paper is peer reviewed, this citation will be updated.
+
+```
+@misc{veitchmichaelis2024oamtcdgloballydiversedataset,
+      title={OAM-TCD: A globally diverse dataset of high-resolution tree cover maps}, 
+      author={Josh Veitch-Michaelis and Andrew Cottam and Daniella Schweizer and Eben N. Broadbent and David Dao and Ce Zhang and Angelica Almeyda Zambrano and Simeon Max},
+      year={2024},
+      eprint={2407.11743},
+      archivePrefix={arXiv},
+      primaryClass={cs.CV},
+      url={https://arxiv.org/abs/2407.11743}, 
+}
+```
 
 ## Dataset Card Authors