Citation

README.md

@@ -23,7 +23,7 @@ tags:
 
 <!-- This repository is the official Pytorch implementation for [SkyScenes](). -->
 
-[![HuggingFace Dataset](https://img.shields.io/badge/🤗-HuggingFace%20Dataset-cyan.svg)](https://huggingface.co/datasets/hoffman-lab/SkyScenes) [![Project Page](https://img.shields.io/badge/Project-Website-orange)](https://github.gatech.edu/pages/hoffman-group/SkyScenes/) [![arXiv](https://img.shields.io/badge/arXiv-SkyScenes-b31b1b.svg)]()  
+[![HuggingFace Dataset](https://img.shields.io/badge/🤗-HuggingFace%20Dataset-cyan.svg)](https://huggingface.co/datasets/hoffman-lab/SkyScenes) [![Project Page](https://img.shields.io/badge/Project-Website-orange)](https://github.gatech.edu/pages/hoffman-group/SkyScenes/) [![arXiv](https://img.shields.io/badge/arXiv-SkyScenes-b31b1b.svg)](https://arxiv.org/abs/2312.06719)  
 
 
 <!-- [![Watch the Demo](./assets/robust_aerial_videos.mp4)](./assets/robust_aerial_videos.mp4) -->
@@ -284,10 +284,10 @@ The dataset is organized in the following structure:
 ## Dataset Download 
 
 
-<!--The dataset can be downloaded using both [datasets](https://huggingface.co/docs/datasets/index) library by Hugging Face and wget.--> 
+The dataset can be downloaded using both [datasets](https://huggingface.co/docs/datasets/index) library by Hugging Face and wget. 
 Since SkyScenes offers variations across different axes we enable different subsets for download that can aid in model sensitivity analysis across these axes. 
 
-<!--
+
 ### Download instructions: wget
 
 **Example script for downloading different subsets of data using wget**
@@ -295,10 +295,12 @@ Since SkyScenes offers variations across different axes we enable different subs
 #!/bin/bash
 #Change here to download a specific Height and Pitch Variation, for example - H_15_P_0
 #Note- Currently supporting only H_35_P_45 for Instance and Depth Maps
+# HP=('H_15_P_45' 'H_15_P_60' 'H_15_P_90')
 HP=('H_15_P_0' 'H_15_P_45' 'H_15_P_60' 'H_15_P_90' 'H_35_P_0' 'H_35_P_45' 'H_35_P_60' 'H_35_P_90' 'H_60_P_0' 'H_60_P_45' 'H_60_P_60' 'H_60_P_90')
 
 #Change here to download a specific weather subset, for example - ClearNoon
 #Note - For Segment, Instance and Depth annotations this field should only have ClearNoon variation
+# weather=('ClearNoon' 'ClearNight')
 weather=('ClearNoon' 'ClearNight' 'ClearSunset' 'CloudyNoon' 'MidRainyNoon')
 
 #Change here to download a specific Town subset, for example - Town07
@@ -316,16 +318,15 @@ for hp in "${HP[@]}"; do
       for t in "${layout[@]}"; do
         folder=$(echo "$base_url" | awk -F '/' '{print $(NF)}')
         download_url="${base_url}/${hp}/${w}/${t}/${t}.tar.gz"
-        download_folder="${base_download_folder}/${folder}/${HP}/${w}/${t}"
+        download_folder="${base_download_folder}/${folder}/${hp}/${w}/${t}"
         mkdir -p "$download_folder"
         echo "Downloading: $download_url"
         wget -P "$download_folder" "$download_url"
-        done
       done
   done
 done
 ```
--->
+
 ### Download instructions: [datasets](https://huggingface.co/docs/datasets/index)
 
 <details>
@@ -401,4 +402,19 @@ dataset = load_dataset('hoffman-lab/SkyScenes',name="H_35_P_45 depth")
 ### 💡 Notes
 
 - Depth and Instance segmentation maps are available for only H_35_P_45, other variations will be made available soon.
-- To prevent issues when loading datasets using [datasets](https://huggingface.co/docs/datasets/index) library, it is recommended to avoid downloading subsets that contain overlapping directories. If there are any overlapping directories between the existing downloads and new ones, it's essential to clear the .cache directory of any such overlaps before proceeding with the new downloads. This step will ensure a clean and conflict-free environment for handling datasets.
+- To prevent issues when loading datasets using [datasets](https://huggingface.co/docs/datasets/index) library, it is recommended to avoid downloading subsets that contain overlapping directories. If there are any overlapping directories between the existing downloads and new ones, it's essential to clear the .cache directory of any such overlaps before proceeding with the new downloads. This step will ensure a clean and conflict-free environment for handling datasets.
+
+## BibTex
+
+If you find this work useful please like ❤️ our dataset repo and cite 📄 our paper. Thanks for your support!
+
+```
+  @misc{khose2023skyscenes,
+      title={SkyScenes: A Synthetic Dataset for Aerial Scene Understanding}, 
+      author={Sahil Khose and Anisha Pal and Aayushi Agarwal and Deepanshi and Judy Hoffman and Prithvijit Chattopadhyay},
+      year={2023},
+      eprint={2312.06719},
+      archivePrefix={arXiv},
+      primaryClass={cs.CV}
+}
+  ```