Update README.md

README.md

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+---
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 # FloodNet: High Resolution Aerial Imagery Dataset for Post-Flood Scene Understanding
 
-This is the HF hosted version of **FloodNet**.
+This is the HF-hosted version of **FloodNet**.
+
+![FloodNet Image](https://huggingface.co/datasets/takara-ai/FloodNet_2021-Track_2_Dataset_HF/resolve/main/train_image/img/6340.JPG)
 
 The **FloodNet 2021: A High Resolution Aerial Imagery Dataset for Post-Flood Scene Understanding** provides high-resolution UAS imageries with detailed semantic annotation regarding the damages. To advance the damage assessment process for post-disaster scenarios, the authors of the dataset presented a unique challenge considering **classification**, **semantic segmentation**, and **visual question answering (VQA)**, highlighting the UAS imagery-based FloodNet dataset.
 
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 The Challenge has two tracks:
 
-1. **Image Classification and Semantic Segmentation** (available on DatasetNinja)
+1. **Image Classification and Semantic Segmentation** (available on [DatasetNinja](https://datasetninja.com/floodnet-track-2))
 2. **Visual Question Answering** (current)
 
 ---
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   _For example: "Is there any flooded road?"_
 
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+
+## Citation
+
+If you use FloodNet in your work, please cite the following paper:
+
+```bibtex
+@misc{rahnemoonfar2020floodnet,
+  title={FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene Understanding},
+  author={Maryam Rahnemoonfar and Tashnim Chowdhury and Argho Sarkar and Debvrat Varshney and Masoud Yari and Robin Murphy},
+  year={2020},
+  eprint={2012.02951},
+  archivePrefix={arXiv},
+  primaryClass={cs.CV},
+  doi={10.48550/arXiv.2012.02951}
+}
+```