How to use this site
The figure below explains how to look for information in this site.
In this site, we compile some existing benchmark datasets for machine learning for natural disasters introduced in the past five years for researchers to search through. Our main goal is to facilitate finding benchmark datasets for natural disasters to train ML models on, and provide general directions for topics where interested researchers can contribute new benchmark datasets.
The figure below explains how to look for information in this site.
This platform is still a work in progress. We would love your feedback, and we are happy to answer any queries you have. Alternatively, if you have ideas or there's something specific you'd want to see in this platform, feel free to email us.
Proma, A. M., Islam, M. S., Ciko, S., Baten, R. A., & Hoque, E. (2022). NADBenchmarks-a compilation of Benchmark Datasets for Machine Learning Tasks related to Natural Disasters.
Bibtex:
@inproceedings{proma2022nadbenchmarks, title={NADBenchmarks - a compilation of Benchmark Datasets for Machine Learning Tasks related to Natural Disasters}, author={Proma, Adiba}, booktitle={AAAI 2022 Fall Symposium: The Role of AI in Responding to Climate Challenges}, url={https://www.climatechange.ai/papers/aaaifss2022/9}, year={2022} }