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TCRISI serves as the dataset for benchmarking the performance of TC rapid intensification prediction models. It is derived from the TCIR dataset with this script.
The training/validation/test splits are here:
Please refer to the official TCRI-Benchmark repository for loading the tfrecords.
Please cite the following paper:
Ching-Yuan Bai, Buo-Fu Chen, and Hsuan-Tien Lin. Benchmarking tropical cyclone rapid intensification with satellite images and attention-based deep models. In Proceedings of the The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), September 2020. A preliminary version appeared in the Workshop on Machine Learning for Earth Observation @ ECML/PKDD '19.
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Last updated at CST 13:12, October 04, 2023 Please feel free to contact me:
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