HOT-2022 Dataset

The HOT-2022 dataset is a hyperspectral object tracking dataset, which consists of 40 training videos and 35 testing videos. The dataset includes 16 bands and has a resolution of 471x207x16.

Data and Resources

Cite this as

Mohammad Aminul Islam, Wangzhi Xing, Jun Zhou, Yongsheng Gao, Kuldip K. Paliwal (2024). Dataset: HOT-2022 Dataset. https://doi.org/10.57702/vtwo7pat

DOI retrieved: December 16, 2024

Additional Info

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Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.2311.18199
Author Mohammad Aminul Islam
More Authors
Wangzhi Xing
Jun Zhou
Yongsheng Gao
Kuldip K. Paliwal